[
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        "key": "S2S7RQJY",
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        "library": {
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            "name": "Web Based Interventions -  PT-BR",
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            },
            "creatorSummary": "Rizzo and Shilling",
            "parsedDate": "2017",
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        },
        "data": {
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            "version": 69,
            "itemType": "journalArticle",
            "title": "Clinical Virtual Reality tools to advance the prevention, assessment, and treatment  of PTSD.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Albert 'Skip'",
                    "lastName": "Rizzo"
                },
                {
                    "creatorType": "author",
                    "firstName": "Russell",
                    "lastName": "Shilling"
                }
            ],
            "abstractNote": "Numerous reports indicate that the incidence of posttraumatic stress disorder (PTSD)  in Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn  (OEF/OIF/OND) military personnel has created a significant behavioural healthcare  challenge. These findings have served to motivate research on how to better develop  and disseminate evidence-based treatments for PTSD. The current article presents the  use of Virtual Reality (VR) as a clinical tool to address the assessment,  prevention, and treatment of PTSD, based on the VR projects that were evolved at the  University of Southern California Institute for Creative Technologies since 2004. A  brief discussion of the definition and rationale for the clinical use of VR is  followed by a description of a VR application designed for the delivery of prolonged  exposure (PE) for treating Service Members (SMs) and Veterans with combat- and  sexual assault-related PTSD. The expansion of the virtual treatment simulations of  Iraq and Afghanistan for PTSD assessment and prevention is then presented. This is  followed by a forward-looking discussion that details early efforts to develop  virtual human agent systems that serve the role of virtual patients for training the  next generation of clinical providers, as healthcare guides that can be used to  support anonymous access to trauma-relevant behavioural healthcare information, and  as clinical interviewers capable of automated behaviour analysis of users to infer  psychological state. The paper will conclude with a discussion of VR as a tool for  breaking down barriers to care in addition to its direct application in assessment  and intervention.",
            "publicationTitle": "European journal of psychotraumatology",
            "publisher": "",
            "place": "",
            "date": "2017",
            "volume": "8",
            "issue": "sup5",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "1414560",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "Eur J Psychotraumatol",
            "DOI": "10.1080/20008198.2017.1414560",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "29372007",
            "PMCID": "PMC5774399",
            "ISSN": "2000-8066 2000-8066 2000-8066",
            "archive": "",
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            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
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            "rights": "",
            "extra": "",
            "tags": [
                {
                    "tag": "A brief discussion of the definition and rationale for the clinical use of VR is"
                },
                {
                    "tag": "BRAVEMIND"
                },
                {
                    "tag": "PTSD"
                },
                {
                    "tag": "SimCoach"
                },
                {
                    "tag": "The article presents the use of Virtual Reality (VR) as a clinical tool to address  the assessment, prevention, and treatment of posttraumatic stress disorder (PTSD)."
                },
                {
                    "tag": "The clinical use of VR is discussed in a larger context, particularly  regarding its capability to break down barriers to care."
                },
                {
                    "tag": "Veterans"
                },
                {
                    "tag": "Virtual Reality"
                },
                {
                    "tag": "Virtual human applications relevant to PTSD are also  discussed."
                },
                {
                    "tag": "assault-related PTSD."
                },
                {
                    "tag": "exposure (PE) for treating Service Members and Veterans with combat- and sexual"
                },
                {
                    "tag": "exposure therapy"
                },
                {
                    "tag": "followed by a description of a VR application designed for the delivery of prolonged"
                },
                {
                    "tag": "resilience"
                },
                {
                    "tag": "service members"
                },
                {
                    "tag": "virtual humans"
                },
                {
                    "tag": "virtual patients"
                }
            ],
            "collections": [
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            "relations": {},
            "dateAdded": "2020-09-03T18:19:48Z",
            "dateModified": "2020-12-16T14:19:11Z"
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    {
        "key": "B7GHU7QG",
        "version": 75,
        "library": {
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            "creatorSummary": "Hernandez",
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        "data": {
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            "version": 75,
            "itemType": "journalArticle",
            "title": "Network Diffusion and Technology Acceptance of A Nurse Chatbot for Chronic Disease  Self-Management Support : A Theoretical Perspective.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Joannes Paulus Tolentino",
                    "lastName": "Hernandez"
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            ],
            "abstractNote": "Telenursing is one type of telehealth service delivery proposed to resolve the  predicted gap between healthcare workforce demand and supply globally. The aim of  this article is to explore the 'Nurse Chatbot' for chronic care on the benefits of  increasing patient/client access to healthcare information and maximizing the  potential of artificial intelligence/AI to bridge the 'demand-supply gap' of human  healthcare providers. Moreover,closing this gap through the establishment of a  'Nurse Chatbot' will be innovative, favorably scalable and customizable within a  decentralized health network, and potentially sustainable in the new digital  economy. Following are the assumptions : 1) \"caring\" communicated textually is  highly 'transactive' in chronic disease selfmanagement support/CDSMS for goal  agreements between agents and for overcoming the system noise in the form of  cross-entropy, perplexity, and information wastage ; 2) 'Nurse Chatbot' is the  interlocutor in nursing care and the nursing agency by superpositioning and  entanglement ; and 3) possible effects of chatbot-user transactions are information  flows, management of health, and patient satisfaction. This article also looks into  'Nurse Chatbot' development for CDSMS, simulation of its diffusion capacity  egocentrically, technology acceptance model/TAM to inquire the engagement of users,  and possible approaches to ethical and safety issues. J. Med. Invest. 66 : 24-30,  February, 2019.",
            "publicationTitle": "The journal of medical investigation : JMI",
            "publisher": "",
            "place": "",
            "date": "2019",
            "volume": "66",
            "issue": "1.2",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "24-30",
            "series": "",
            "seriesTitle": "",
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            "journalAbbreviation": "J Med Invest",
            "DOI": "10.2152/jmi.66.24",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "31064947",
            "PMCID": "",
            "ISSN": "1349-6867 1343-1420",
            "archive": "",
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            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
            "callNumber": "",
            "rights": "",
            "extra": "Place: Japan",
            "tags": [
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                    "tag": "*Biomedical Technology"
                },
                {
                    "tag": "*Nursing Theory"
                },
                {
                    "tag": "*Self-Management"
                },
                {
                    "tag": "Chronic Disease/*therapy"
                },
                {
                    "tag": "Communication"
                },
                {
                    "tag": "Empathy"
                },
                {
                    "tag": "Humans"
                },
                {
                    "tag": "artificial intelligence"
                },
                {
                    "tag": "chronic disease self-management support"
                },
                {
                    "tag": "network diffusion"
                },
                {
                    "tag": "nurse chatbot"
                },
                {
                    "tag": "technology acceptance model"
                }
            ],
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            "dateAdded": "2020-09-03T18:19:48Z",
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    {
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        "version": 75,
        "library": {
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            },
            "creatorSummary": "Gaffney et al.",
            "parsedDate": "2019-10-18",
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        "data": {
            "key": "G5NXF4D3",
            "version": 75,
            "itemType": "journalArticle",
            "title": "Conversational Agents in the Treatment of Mental Health Problems: Mixed-Method  Systematic Review.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Hannah",
                    "lastName": "Gaffney"
                },
                {
                    "creatorType": "author",
                    "firstName": "Warren",
                    "lastName": "Mansell"
                },
                {
                    "creatorType": "author",
                    "firstName": "Sara",
                    "lastName": "Tai"
                }
            ],
            "abstractNote": "BACKGROUND: The use of conversational agent interventions (including chatbots and  robots) in mental health is growing at a fast pace. Recent existing reviews have  focused exclusively on a subset of embodied conversational agent interventions  despite other modalities aiming to achieve the common goal of improved mental  health. OBJECTIVE: This study aimed to review the use of conversational agent  interventions in the treatment of mental health problems. METHODS: We performed a  systematic search using relevant databases (MEDLINE, EMBASE, PsycINFO, Web of  Science, and Cochrane library). Studies that reported on an autonomous  conversational agent that simulated conversation and reported on a mental health  outcome were included. RESULTS: A total of 13 studies were included in the review.  Among them, 4 full-scale randomized controlled trials (RCTs) were included. The rest  were feasibility, pilot RCTs and quasi-experimental studies. Interventions were  diverse in design and targeted a range of mental health problems using a wide  variety of therapeutic orientations. All included studies reported reductions in  psychological distress postintervention. Furthermore, 5 controlled studies  demonstrated significant reductions in psychological distress compared with inactive  control groups. In addition, 3 controlled studies comparing interventions with  active control groups failed to demonstrate superior effects. Broader utility in  promoting well-being in nonclinical populations was unclear. CONCLUSIONS: The  efficacy and acceptability of conversational agent interventions for mental health  problems are promising. However, a more robust experimental design is required to  demonstrate efficacy and efficiency. A focus on streamlining interventions,  demonstrating equivalence to other treatment modalities, and elucidating mechanisms  of action has the potential to increase acceptance by users and clinicians and  maximize reach.",
            "publicationTitle": "JMIR mental health",
            "publisher": "",
            "place": "",
            "date": "2019 Oct 18",
            "volume": "6",
            "issue": "10",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "e14166",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "JMIR Ment Health",
            "DOI": "10.2196/14166",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "31628789",
            "PMCID": "PMC6914342",
            "ISSN": "2368-7959 2368-7959 2368-7959",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
            "callNumber": "",
            "rights": "©Hannah Gaffney, Warren Mansell, Sara Tai. Originally published in JMIR Mental  Health (http://mental.jmir.org), 18.10.2019.",
            "extra": "",
            "tags": [
                {
                    "tag": "artificial intelligence"
                },
                {
                    "tag": "chatbot"
                },
                {
                    "tag": "conversational agent"
                },
                {
                    "tag": "digital health"
                },
                {
                    "tag": "mental health"
                },
                {
                    "tag": "psychiatry"
                },
                {
                    "tag": "stress, pychological"
                },
                {
                    "tag": "therapy, computer-assisted"
                }
            ],
            "collections": [
                "7ZL85GUQ"
            ],
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            "dateAdded": "2020-09-03T18:19:48Z",
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    {
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            },
            "creatorSummary": "Tropea et al.",
            "parsedDate": "2019-10-01",
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        },
        "data": {
            "key": "2MQP9ITS",
            "version": 75,
            "itemType": "journalArticle",
            "title": "Rehabilitation, the Great Absentee of Virtual Coaching in Medical Care: Scoping  Review.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Peppino",
                    "lastName": "Tropea"
                },
                {
                    "creatorType": "author",
                    "firstName": "Hannes",
                    "lastName": "Schlieter"
                },
                {
                    "creatorType": "author",
                    "firstName": "Irma",
                    "lastName": "Sterpi"
                },
                {
                    "creatorType": "author",
                    "firstName": "Elda",
                    "lastName": "Judica"
                },
                {
                    "creatorType": "author",
                    "firstName": "Kai",
                    "lastName": "Gand"
                },
                {
                    "creatorType": "author",
                    "firstName": "Massimo",
                    "lastName": "Caprino"
                },
                {
                    "creatorType": "author",
                    "firstName": "Inigo",
                    "lastName": "Gabilondo"
                },
                {
                    "creatorType": "author",
                    "firstName": "Juan Carlos",
                    "lastName": "Gomez-Esteban"
                },
                {
                    "creatorType": "author",
                    "firstName": "Stefan",
                    "lastName": "Busnatu"
                },
                {
                    "creatorType": "author",
                    "firstName": "Crina",
                    "lastName": "Sinescu"
                },
                {
                    "creatorType": "author",
                    "firstName": "Sofoklis",
                    "lastName": "Kyriazakos"
                },
                {
                    "creatorType": "author",
                    "firstName": "Sadia",
                    "lastName": "Anwar"
                },
                {
                    "creatorType": "author",
                    "firstName": "Massimo",
                    "lastName": "Corbo"
                }
            ],
            "abstractNote": "BACKGROUND: In the last few years, several studies have focused on describing and  understanding how virtual coaches (ie, coaching program or smart device aiming to  provide coaching support through a variety of application contexts) could be key  drivers for health promotion in home care settings. As there has been enormous  technological progress in the field of artificial intelligence and data processing  in the past decade, the use of virtual coaches gains an augmented attention in the  considerations of medical innovations. OBJECTIVE: This scoping review aimed at  providing an overview of the applications of a virtual coach in the clinical field.  In particular, the review focused on the papers that provide tangible information  for coaching activities with an active implication for engaging and guiding patients  who have an ongoing plan of care. METHODS: We aimed to investigate the use of the  term virtual coach in the clinical field performing a methodical review of the  relevant literature indexed on PubMed, Scopus, and Embase databases to find virtual  coach papers focused on specific activities dealing with clinical or medical  contexts, excluding those aimed at surgical settings or electronic learning  purposes. RESULTS: After a careful revision of the inclusion and exclusion criteria,  46 records were selected for the full-text review. Most of the identified articles  directly or indirectly addressed the topic of physical activity. Some papers were  focused on the use of virtual coaching (VC) to manage overweight or nutritional  issues. Other papers dealt with technological interfaces to facilitate interactions  with patients suffering from different chronic clinical conditions such as heart  failure, chronic obstructive pulmonary disease, depression, and chronic pain.  CONCLUSIONS: Although physical activity is a healthy practice that is most  encouraged by a virtual coach system, in the current scenario, rehabilitation is the  great absentee. This paper gives an overview of the tangible applications of this  tool in the medical field and may inspire new ideas for future research on VC.",
            "publicationTitle": "Journal of medical Internet research",
            "publisher": "",
            "place": "",
            "date": "2019 Oct 1",
            "volume": "21",
            "issue": "10",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "e12805",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "J Med Internet Res",
            "DOI": "10.2196/12805",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "31573902",
            "PMCID": "PMC6774233",
            "ISSN": "1438-8871 1439-4456 1438-8871",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
            "callNumber": "",
            "rights": "©Peppino Tropea, Hannes Schlieter, Irma Sterpi, Elda Judica, Kai Gand, Massimo  Caprino, Inigo Gabilondo, Juan Carlos Gomez-Esteban, Stefan Busnatu, Crina Sinescu,  Sofoklis Kyriazakos, Sadia Anwar, Massimo Corbo. Originally published in the Journal  of Medical Internet Research (http://www.jmir.org), 01.10.2019.",
            "extra": "",
            "tags": [
                {
                    "tag": "*clinical medicine"
                },
                {
                    "tag": "*embodied conversational agent"
                },
                {
                    "tag": "*health behavior"
                },
                {
                    "tag": "*physical activity"
                },
                {
                    "tag": "*rehabilitation"
                },
                {
                    "tag": "*review"
                },
                {
                    "tag": "*virtual coaching"
                },
                {
                    "tag": "Clinical Medicine/*methods"
                },
                {
                    "tag": "Health Behavior/*physiology"
                },
                {
                    "tag": "Humans"
                },
                {
                    "tag": "Mentoring/*methods"
                },
                {
                    "tag": "Rehabilitation/*methods"
                },
                {
                    "tag": "Telemedicine/*methods"
                }
            ],
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            "dateAdded": "2020-09-03T18:19:48Z",
            "dateModified": "2020-09-03T18:19:48Z"
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            "creatorSummary": "Laranjo et al.",
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            "itemType": "journalArticle",
            "title": "Conversational agents in healthcare: a systematic review.",
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                {
                    "creatorType": "author",
                    "firstName": "Liliana",
                    "lastName": "Laranjo"
                },
                {
                    "creatorType": "author",
                    "firstName": "Adam G.",
                    "lastName": "Dunn"
                },
                {
                    "creatorType": "author",
                    "firstName": "Huong Ly",
                    "lastName": "Tong"
                },
                {
                    "creatorType": "author",
                    "firstName": "Ahmet Baki",
                    "lastName": "Kocaballi"
                },
                {
                    "creatorType": "author",
                    "firstName": "Jessica",
                    "lastName": "Chen"
                },
                {
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                    "firstName": "Rabia",
                    "lastName": "Bashir"
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                    "firstName": "Didi",
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                    "creatorType": "author",
                    "firstName": "Farah",
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                {
                    "creatorType": "author",
                    "firstName": "Annie Y. S.",
                    "lastName": "Lau"
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                }
            ],
            "abstractNote": "OBJECTIVE: Our objective was to review the characteristics, current applications,  and evaluation measures of conversational agents with unconstrained natural language  input capabilities used for health-related purposes. METHODS: We searched PubMed,  Embase, CINAHL, PsycInfo, and ACM Digital using a predefined search strategy.  Studies were included if they focused on consumers or healthcare professionals;  involved a conversational agent using any unconstrained natural language input; and  reported evaluation measures resulting from user interaction with the system.  Studies were screened by independent reviewers and Cohen's kappa measured  inter-coder agreement. RESULTS: The database search retrieved 1513 citations; 17  articles (14 different conversational agents) met the inclusion criteria. Dialogue  management strategies were mostly finite-state and frame-based (6 and 7  conversational agents, respectively); agent-based strategies were present in one  type of system. Two studies were randomized controlled trials (RCTs), 1 was  cross-sectional, and the remaining were quasi-experimental. Half of the  conversational agents supported consumers with health tasks such as self-care. The  only RCT evaluating the efficacy of a conversational agent found a significant  effect in reducing depression symptoms (effect size d = 0.44, p = .04). Patient  safety was rarely evaluated in the included studies. CONCLUSIONS: The use of  conversational agents with unconstrained natural language input capabilities for  health-related purposes is an emerging field of research, where the few published  studies were mainly quasi-experimental, and rarely evaluated efficacy or safety.  Future studies would benefit from more robust experimental designs and standardized  reporting. PROTOCOL REGISTRATION: The protocol for this systematic review is  registered at PROSPERO with the number CRD42017065917.",
            "publicationTitle": "Journal of the American Medical Informatics Association : JAMIA",
            "publisher": "",
            "place": "",
            "date": "2018 Sep 1",
            "volume": "25",
            "issue": "9",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "1248-1258",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "J Am Med Inform Assoc",
            "DOI": "10.1093/jamia/ocy072",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "30010941",
            "PMCID": "PMC6118869",
            "ISSN": "1527-974X 1067-5027 1067-5027",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
            "callNumber": "",
            "rights": "",
            "extra": "",
            "tags": [
                {
                    "tag": "*Natural Language Processing"
                },
                {
                    "tag": "*Speech Recognition Software"
                },
                {
                    "tag": "Artificial Intelligence"
                },
                {
                    "tag": "Communication"
                },
                {
                    "tag": "Delivery of Health Care"
                }
            ],
            "collections": [
                "7ZL85GUQ"
            ],
            "relations": {},
            "dateAdded": "2020-09-03T18:19:48Z",
            "dateModified": "2020-09-03T18:19:48Z"
        }
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        "version": 75,
        "library": {
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            "name": "Web Based Interventions -  PT-BR",
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            "creatorSummary": "Vaidyam et al.",
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            "key": "HQL56DMF",
            "version": 75,
            "itemType": "journalArticle",
            "title": "Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric  Landscape.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Aditya Nrusimha",
                    "lastName": "Vaidyam"
                },
                {
                    "creatorType": "author",
                    "firstName": "Hannah",
                    "lastName": "Wisniewski"
                },
                {
                    "creatorType": "author",
                    "firstName": "John David",
                    "lastName": "Halamka"
                },
                {
                    "creatorType": "author",
                    "firstName": "Matcheri S.",
                    "lastName": "Kashavan"
                },
                {
                    "creatorType": "author",
                    "firstName": "John Blake",
                    "lastName": "Torous"
                }
            ],
            "abstractNote": "OBJECTIVE: The aim of this review was to explore the current evidence for  conversational agents or chatbots in the field of psychiatry and their role in  screening, diagnosis, and treatment of mental illnesses. METHODS: A systematic  literature search in June 2018 was conducted in PubMed, EmBase, PsycINFO, Cochrane,  Web of Science, and IEEE Xplore. Studies were included that involved a chatbot in a  mental health setting focusing on populations with or at high risk of developing  depression, anxiety, schizophrenia, bipolar, and substance abuse disorders. RESULTS:  From the selected databases, 1466 records were retrieved and 8 studies met the  inclusion criteria. Two additional studies were included from reference list  screening for a total of 10 included studies. Overall, potential for conversational  agents in psychiatric use was reported to be high across all studies. In particular,  conversational agents showed potential for benefit in psychoeducation and  self-adherence. In addition, satisfaction rating of chatbots was high across all  studies, suggesting that they would be an effective and enjoyable tool in  psychiatric treatment. CONCLUSION: Preliminary evidence for psychiatric use of  chatbots is favourable. However, given the heterogeneity of the reviewed studies,  further research with standardized outcomes reporting is required to more thoroughly  examine the effectiveness of conversational agents. Regardless, early evidence shows  that with the proper approach and research, the mental health field could use  conversational agents in psychiatric treatment.",
            "publicationTitle": "Canadian journal of psychiatry. Revue canadienne de psychiatrie",
            "publisher": "",
            "place": "",
            "date": "2019 Jul",
            "volume": "64",
            "issue": "7",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "456-464",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "Can J Psychiatry",
            "DOI": "10.1177/0706743719828977",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "30897957",
            "PMCID": "PMC6610568",
            "ISSN": "1497-0015 0706-7437 0706-7437",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
            "callNumber": "",
            "rights": "",
            "extra": "",
            "tags": [
                {
                    "tag": "*chatbot"
                },
                {
                    "tag": "*conversational agent"
                },
                {
                    "tag": "*depression"
                },
                {
                    "tag": "*embodied conversational agent"
                },
                {
                    "tag": "*medical informatics"
                },
                {
                    "tag": "*mental health"
                },
                {
                    "tag": "*psychiatry"
                }
            ],
            "collections": [
                "7ZL85GUQ"
            ],
            "relations": {},
            "dateAdded": "2020-09-03T18:19:48Z",
            "dateModified": "2020-09-03T18:19:48Z"
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            "creatorSummary": "Auriacombe et al.",
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        "data": {
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            "version": 75,
            "itemType": "journalArticle",
            "title": "Development and validation of a virtual agent to screen tobacco and alcohol use  disorders.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Marc",
                    "lastName": "Auriacombe"
                },
                {
                    "creatorType": "author",
                    "firstName": "Sarah",
                    "lastName": "Moriceau"
                },
                {
                    "creatorType": "author",
                    "firstName": "Fuschia",
                    "lastName": "Serre"
                },
                {
                    "creatorType": "author",
                    "firstName": "Cécile",
                    "lastName": "Denis"
                },
                {
                    "creatorType": "author",
                    "firstName": "Jean-Arthur",
                    "lastName": "Micoulaud-Franchi"
                },
                {
                    "creatorType": "author",
                    "firstName": "Etienne",
                    "lastName": "de Sevin"
                },
                {
                    "creatorType": "author",
                    "firstName": "Emilien",
                    "lastName": "Bonhomme"
                },
                {
                    "creatorType": "author",
                    "firstName": "Stéphanie",
                    "lastName": "Bioulac"
                },
                {
                    "creatorType": "author",
                    "firstName": "Mélina",
                    "lastName": "Fatseas"
                },
                {
                    "creatorType": "author",
                    "firstName": "Pierre",
                    "lastName": "Philip"
                }
            ],
            "abstractNote": "BACKGROUND: Substance use disorders are under-detected and not systematically  diagnosed or screened for by primary care. In this study, we present the  acceptability and validity of an Embodied Conversational Agent (ECA) designed to  screen tobacco and alcohol use disorder, in individuals who did not seek medical  help for these disorders. METHODS: Individuals were included from June 2016 to May  2017 in the Outpatient Sleep Clinic of the University Hospital of Bordeaux. DSM-5  diagnoses of tobacco and alcohol use disorders were assessed by human interviewers.  The ECA interview integrated items from the Cigarette Dependence Scale-5 (CDS-5) for  tobacco use disorder screening, and the \"Cut Down, Annoyed, Guilty, Eye-opener\"  (CAGE) questionnaire for alcohol use disorder screening. Paper version of CDS-5 and  CAGE questionnaires and acceptability questionnaire was also self-administered.  RESULTS: Of the 139 participants in the study (mean age 43.0 [SD = 13.7] years), 71  were women, and 68 were men. The ECA was well accepted by the patients. Paper  self-administered CDS-5 and CAGE scores had a strong agreement with the ECA  (p < 0.0001). The Receiver Operating Characteristic (ROC) analysis of the ECA  interview showed AUC of 0.97 (95% CI, 0.93-1.0) and 0.84 (95% CI, 0.69-0.98) for  CDS-5 and CAGE respectively with p-value <0.0001. CONCLUSIONS: This ECA was  acceptable and valid to screen tobacco or alcohol use disorder among patients not  requesting treatment for addiction. The ECA could be used in hospitals and  potentially in primary care settings to help clinicians to better screen their  patients for alcohol and tobacco use disorders.",
            "publicationTitle": "Drug and alcohol dependence",
            "publisher": "",
            "place": "",
            "date": "2018 Dec 1",
            "volume": "193",
            "issue": "",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "1-6",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "Drug Alcohol Depend",
            "DOI": "10.1016/j.drugalcdep.2018.08.025",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "30321739",
            "PMCID": "",
            "ISSN": "1879-0046 0376-8716",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
            "callNumber": "",
            "rights": "Copyright © 2018 Elsevier B.V. All rights reserved.",
            "extra": "Place: Ireland",
            "tags": [
                {
                    "tag": "*Addiction"
                },
                {
                    "tag": "*Alcohol"
                },
                {
                    "tag": "*Embodied conversational agents"
                },
                {
                    "tag": "*Systematic screening"
                },
                {
                    "tag": "*Tobacco"
                },
                {
                    "tag": "*Virtual Reality"
                },
                {
                    "tag": "*Virtual reality"
                },
                {
                    "tag": "Adult"
                },
                {
                    "tag": "Alcoholism/*diagnosis"
                },
                {
                    "tag": "Ambulatory Care Facilities"
                },
                {
                    "tag": "Diagnostic and Statistical Manual of Mental Disorders"
                },
                {
                    "tag": "Female"
                },
                {
                    "tag": "Humans"
                },
                {
                    "tag": "Male"
                },
                {
                    "tag": "Patient Satisfaction"
                },
                {
                    "tag": "Primary Health Care/*methods"
                },
                {
                    "tag": "Surveys and Questionnaires"
                },
                {
                    "tag": "Tobacco Use Disorder/*diagnosis"
                }
            ],
            "collections": [
                "7ZL85GUQ"
            ],
            "relations": {},
            "dateAdded": "2020-09-03T18:19:48Z",
            "dateModified": "2020-09-03T18:19:48Z"
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    {
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        "version": 74,
        "library": {
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            "creatorSummary": "Turner et al.",
            "parsedDate": "2003",
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        "data": {
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            "version": 74,
            "itemType": "journalArticle",
            "title": "Topoisomerase I interactive agents.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "P. Kellie",
                    "lastName": "Turner"
                },
                {
                    "creatorType": "author",
                    "firstName": "Lisa C.",
                    "lastName": "Iacono"
                },
                {
                    "creatorType": "author",
                    "firstName": "Clinton F.",
                    "lastName": "Stewart"
                }
            ],
            "abstractNote": "Increased insight into the mechanism of interaction of topoisomerase I interactive  agents will maximize the therapeutic index and enhance the development of additional  agents. Preclinical studies designed to elucidate mechanisms by which the  topoisomerase I interactive agents induce cell death will be essential. The role of  ABC transporters in resistance to topoisomerase I interactive agents has been  recently appreciated and future studies should be directed at circumventing this  resistance. The results of preclinical studies must be translated into the design of  clinical trials so that these agents can be used rationally. In this regard results  of preclinical studies have clearly pointed to the enhanced antitumor activity from  protracted dosing of topoisomerase I interactive agents and results of clinical  trials are now supporting these preclinical findings. Finally, investigators are  trying to understand better the mechanism(s) of the dose-limiting toxicities  observed with the currently available topoisomerase I interactive agents in an  effort to enable the optimal dosing of these agents. Even though the first priority  must be to determine the therapeutic potential of the currently available agents, it  is reassuring to know that other topoisomerase I interactive agents are currently  under development.",
            "publicationTitle": "Cancer chemotherapy and biological response modifiers",
            "publisher": "",
            "place": "",
            "date": "2003",
            "volume": "21",
            "issue": "",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "69-101",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "Cancer Chemother Biol Response Modif",
            "DOI": "10.1016/s0921-4410(03)21004-8",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "15338741",
            "PMCID": "",
            "ISSN": "0921-4410 0921-4410",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
            "callNumber": "",
            "rights": "",
            "extra": "Place: Netherlands",
            "tags": [
                {
                    "tag": "Adult"
                },
                {
                    "tag": "Antineoplastic Agents/pharmacology/*therapeutic use"
                },
                {
                    "tag": "Camptothecin/*therapeutic use"
                },
                {
                    "tag": "Child"
                },
                {
                    "tag": "DNA Topoisomerases, Type I/drug effects/genetics/*metabolism"
                },
                {
                    "tag": "Gene Expression Regulation, Enzymologic/drug effects"
                },
                {
                    "tag": "Gene Expression Regulation, Neoplastic/drug effects"
                },
                {
                    "tag": "Humans"
                },
                {
                    "tag": "Neoplasms/*drug therapy"
                }
            ],
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            "dateAdded": "2020-09-03T18:19:48Z",
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    },
    {
        "key": "E424VR94",
        "version": 74,
        "library": {
            "type": "group",
            "id": 294924,
            "name": "Web Based Interventions -  PT-BR",
            "links": {
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            },
            "creatorSummary": "Hoermann et al.",
            "parsedDate": "2017-07-21",
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        "data": {
            "key": "E424VR94",
            "version": 74,
            "itemType": "journalArticle",
            "title": "Application of Synchronous Text-Based Dialogue Systems in Mental Health  Interventions: Systematic Review.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Simon",
                    "lastName": "Hoermann"
                },
                {
                    "creatorType": "author",
                    "firstName": "Kathryn L.",
                    "lastName": "McCabe"
                },
                {
                    "creatorType": "author",
                    "firstName": "David N.",
                    "lastName": "Milne"
                },
                {
                    "creatorType": "author",
                    "firstName": "Rafael A.",
                    "lastName": "Calvo"
                }
            ],
            "abstractNote": "BACKGROUND: Synchronous written conversations (or \"chats\") are becoming increasingly  popular as Web-based mental health interventions. Therefore, it is of utmost  importance to evaluate and summarize the quality of these interventions. OBJECTIVE:  The aim of this study was to review the current evidence for the feasibility and  effectiveness of online one-on-one mental health interventions that use text-based  synchronous chat. METHODS: A systematic search was conducted of the databases  relevant to this area of research (Medical Literature Analysis and Retrieval System  Online [MEDLINE], PsycINFO, Central, Scopus, EMBASE, Web of Science, IEEE, and ACM).  There were no specific selection criteria relating to the participant group. Studies  were included if they reported interventions with individual text-based synchronous  conversations (ie, chat or text messaging) and a psychological outcome measure.  RESULTS: A total of 24 articles were included in this review. Interventions included  a wide range of mental health targets (eg, anxiety, distress, depression, eating  disorders, and addiction) and intervention design. Overall, compared with the  waitlist (WL) condition, studies showed significant and sustained improvements in  mental health outcomes following synchronous text-based intervention, and post  treatment improvement equivalent but not superior to treatment as usual (TAU) (eg,  face-to-face and telephone counseling). CONCLUSIONS: Feasibility studies indicate  substantial innovation in this area of mental health intervention with studies  utilizing trained volunteers and chatbot technologies to deliver interventions.  While studies of efficacy show positive post-intervention gains, further research is  needed to determine whether time requirements for this mode of intervention are  feasible in clinical practice.",
            "publicationTitle": "Journal of medical Internet research",
            "publisher": "",
            "place": "",
            "date": "2017 Jul 21",
            "volume": "19",
            "issue": "8",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "e267",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "J Med Internet Res",
            "DOI": "10.2196/jmir.7023",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "28784594",
            "PMCID": "PMC5595406",
            "ISSN": "1438-8871 1439-4456 1438-8871",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
            "callNumber": "",
            "rights": "©Simon Hoermann, Kathryn L McCabe, David N Milne, Rafael A Calvo. Originally  published in the Journal of Medical Internet Research (http://www.jmir.org),  21.07.2017.",
            "extra": "",
            "tags": [
                {
                    "tag": "*chat"
                },
                {
                    "tag": "*dialog system"
                },
                {
                    "tag": "*remote psychotherapy"
                },
                {
                    "tag": "Feasibility Studies"
                },
                {
                    "tag": "Humans"
                },
                {
                    "tag": "Mental Health/*standards"
                },
                {
                    "tag": "Text Messaging/*statistics & numerical data"
                }
            ],
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            "creatorSummary": "Pereira and Díaz",
            "parsedDate": "2019-04-04",
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            "itemType": "journalArticle",
            "title": "Using Health Chatbots for Behavior Change: A Mapping Study.",
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                    "creatorType": "author",
                    "firstName": "Juanan",
                    "lastName": "Pereira"
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                }
            ],
            "abstractNote": "This study conducts a mapping study to survey the landscape of health chatbots along  three research questions: What illnesses are chatbots tackling? What patient  competences are chatbots aimed at? Which chatbot technical enablers are of most  interest in the health domain? We identify 30 articles related to health chatbots  from 2014 to 2018. We analyze the selected articles qualitatively and extract a  triplet <technicalEnablers, competence, illness> for each of them. This data serves  to provide a first overview of chatbot-mediated behavior change on the health  domain. Main insights include: nutritional disorders and neurological disorders as  the main illness areas being tackled; \"affect\" as the human competence most pursued  by chatbots to attain change behavior; and \"personalization\" and \"consumability\" as  the most appreciated technical enablers. On the other hand, main limitations include  lack of adherence to good practices to case-study reporting, and a deeper look at  the broader sociological implications brought by this technology.",
            "publicationTitle": "Journal of medical systems",
            "publisher": "",
            "place": "",
            "date": "2019 Apr 4",
            "volume": "43",
            "issue": "5",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "135",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "J Med Syst",
            "DOI": "10.1007/s10916-019-1237-1",
            "citationKey": "",
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            "accessDate": "",
            "PMID": "30949846",
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            "ISSN": "1573-689X 0148-5598",
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            "language": "eng",
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            "extra": "Place: United States",
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                {
                    "tag": "*Health Behavior"
                },
                {
                    "tag": "*Machine Learning"
                },
                {
                    "tag": "*Text Messaging"
                },
                {
                    "tag": "*User-Computer Interface"
                },
                {
                    "tag": "Behavior, Addictive/diagnosis/therapy"
                },
                {
                    "tag": "Chatbots"
                },
                {
                    "tag": "Communication"
                },
                {
                    "tag": "Health Status"
                },
                {
                    "tag": "Humans"
                },
                {
                    "tag": "Instant messaging"
                },
                {
                    "tag": "Internet"
                },
                {
                    "tag": "Mental Health"
                },
                {
                    "tag": "Metabolic Diseases/diagnosis/therapy"
                },
                {
                    "tag": "Mobile healthcare"
                },
                {
                    "tag": "Nervous System Diseases/diagnosis/therapy"
                },
                {
                    "tag": "Nutrition Disorders/diagnosis/therapy"
                },
                {
                    "tag": "Software agents"
                },
                {
                    "tag": "Telemedicine/*methods"
                }
            ],
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            "title": "Inferring User Intent using Bayesian Theory of Mind in Shared Avatar-Agent Virtual  Environments.",
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                    "lastName": "Narang"
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                    "lastName": "Best"
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                    "firstName": "Dinesh",
                    "lastName": "Manocha"
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            "abstractNote": "We present a real-time algorithm to infer the intention of a user's avatar in a  virtual environment shared with multiple human-like agents. Our algorithm applies  the Bayesian Theory of Mind approach to make inferences about the avatar's hidden  intentions based on the observed proxemics and gaze-based cues. Our approach  accounts for the potential irrationality in human behavior, as well as the dynamic  nature of an individual's intentions. The inferred intent is used to guide the  response of the virtual agent and generate locomotion and gaze-based behaviors. Our  overall approach allows the user to actively interact with tens of virtual agents  from a first-person perspective in an immersive setting. We systematically evaluate  our inference algorithm in controlled multi-agent simulation environments and  highlight its ability to reliably and efficiently infer the hidden intent of a  user's avatar even under noisy conditions. We quantitatively demonstrate the  performance benefits of our approach in terms of reducing false inferences, as  compared to a prior method. The results of our user evaluation show that 68.18% of  participants reported feeling more comfortable in sharing the virtual environment  with agents simulated with our algorithm as compared to a prior inference method,  likely as a direct result of significantly fewer false inferences and more plausible  responses from the virtual agents.",
            "publicationTitle": "IEEE transactions on visualization and computer graphics",
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            "place": "",
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            "pages": "2113-2122",
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                    "tag": "*Computer Graphics"
                },
                {
                    "tag": "*Virtual Reality"
                },
                {
                    "tag": "Adult"
                },
                {
                    "tag": "Algorithms"
                },
                {
                    "tag": "Bayes Theorem"
                },
                {
                    "tag": "Cues"
                },
                {
                    "tag": "Female"
                },
                {
                    "tag": "Humans"
                },
                {
                    "tag": "Image Processing, Computer-Assisted/*methods"
                },
                {
                    "tag": "Intention"
                },
                {
                    "tag": "Male"
                }
            ],
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            "itemType": "journalArticle",
            "title": "Effectiveness of a Web-Based Tailored Intervention With Virtual Assistants Promoting  the Acceptability of HPV Vaccination Among Mothers of Invited Girls: Randomized  Controlled Trial.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Mirjam",
                    "lastName": "Pot"
                },
                {
                    "creatorType": "author",
                    "firstName": "Theo Gwm",
                    "lastName": "Paulussen"
                },
                {
                    "creatorType": "author",
                    "firstName": "Robert Ac",
                    "lastName": "Ruiter"
                },
                {
                    "creatorType": "author",
                    "firstName": "Iris",
                    "lastName": "Eekhout"
                },
                {
                    "creatorType": "author",
                    "firstName": "Hester E.",
                    "lastName": "de Melker"
                },
                {
                    "creatorType": "author",
                    "firstName": "Maxine Ea",
                    "lastName": "Spoelstra"
                },
                {
                    "creatorType": "author",
                    "firstName": "Hilde M.",
                    "lastName": "van Keulen"
                }
            ],
            "abstractNote": "BACKGROUND: In 2010, the human papillomavirus (HPV) vaccination was introduced in  the Dutch National Immunization Program for 12-year-old girls, aiming to reduce the  incidence of cervical cancer in women. HPV vaccination uptake turned out to be lower  than expected: 61% versus 70%, respectively. Mothers were shown to play the most  important role in the immunization decision about this vaccination. They had also  expressed their need for interactive personal information about the HPV vaccination  over and above the existing universal general information. To improve the  effectiveness of the existing education about the HPV vaccination, we systematically  developed a Web-based tailored intervention with virtual assistants providing  mothers of girls to be invited with tailored feedback on their decision making about  the HPV vaccination. OBJECTIVE: The aim of this study was to evaluate the  effectiveness of the Web-based tailored intervention for promoting HPV vaccination  acceptance by means of a randomized controlled trial (RCT). METHODS: Mothers were  recruited via the Dutch vaccination register (Praeventis) (n=36,000) and three  Web-based panels (n=2483). Those who gave informed consent (N=8062) were randomly  assigned to the control (n=4067) or intervention condition (n=3995). HPV vaccination  uptake, as registered by Praeventis once the HPV vaccination round was completed,  was used as the primary outcome. Secondary outcomes were differential scores across  conditions between baseline (before the provided access to the new tailored  intervention) and follow-up (just before the first vaccination) regarding the  mothers' degree of informed decision making (IDM), decisional conflict, and critical  determinants of HPV vaccination uptake among which are intention, attitude, risk  perception, and outcome beliefs. RESULTS: Intention-to-treat analysis (N=8062)  showed a significant positive effect of the intervention on IDM, decisional  conflict, and nearly all determinants of HPV vaccination uptake (P<.001). No effect  was found on uptake (P=.60). This may be attributed to the overall high uptake rates  in both conditions. Mothers evaluated the intervention as highly positive, including  the website as well as the virtual assistants that were used to deliver the tailored  feedback. CONCLUSIONS: This computer-tailored intervention has the potential to  improve HPV vaccination acceptability and IDM and to decrease decisional conflict  among mothers of invited girls. Implications for future research are discussed.  TRIAL REGISTRATION: Trialregister.nl NTR4935;  http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4935 (Archived by WebCite  at http://www.webcitation.org/6srT7l9EM).",
            "publicationTitle": "Journal of medical Internet research",
            "publisher": "",
            "place": "",
            "date": "2017 Sep 6",
            "volume": "19",
            "issue": "9",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "e312",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "J Med Internet Res",
            "DOI": "10.2196/jmir.7449",
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            "url": "",
            "accessDate": "",
            "PMID": "28877862",
            "PMCID": "PMC5607435",
            "ISSN": "1438-8871 1439-4456 1438-8871",
            "archive": "",
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            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
            "callNumber": "",
            "rights": "©Mirjam Pot, Theo GWM Paulussen, Robert AC Ruiter, Iris Eekhout, Hester E de Melker,  Maxine EA Spoelstra, Hilde M van Keulen. Originally published in the Journal of  Medical Internet Research (http://www.jmir.org), 06.09.2017.",
            "extra": "",
            "tags": [
                {
                    "tag": "*health promotion"
                },
                {
                    "tag": "*randomized controlled trial"
                },
                {
                    "tag": "*vaccination"
                },
                {
                    "tag": "*web-based intervention computer-tailoring"
                },
                {
                    "tag": "Adult"
                },
                {
                    "tag": "Child"
                },
                {
                    "tag": "Female"
                },
                {
                    "tag": "Health Promotion/*methods"
                },
                {
                    "tag": "Humans"
                },
                {
                    "tag": "Immunization/*methods"
                },
                {
                    "tag": "Internet/*statistics & numerical data"
                },
                {
                    "tag": "Middle Aged"
                },
                {
                    "tag": "Mothers"
                },
                {
                    "tag": "Papillomavirus Infections/*therapy"
                },
                {
                    "tag": "Surveys and Questionnaires"
                },
                {
                    "tag": "Vaccination/*methods"
                }
            ],
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            "itemType": "journalArticle",
            "title": "A Tablet Based Embodied Conversational Agent to Promote Smoking Cessation among  Veterans: A Feasibility Study.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Abu S.",
                    "lastName": "Abdullah"
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                {
                    "creatorType": "author",
                    "firstName": "Stephan",
                    "lastName": "Gaehde"
                },
                {
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                    "firstName": "Tim",
                    "lastName": "Bickmore"
                }
            ],
            "abstractNote": "Embodied Conversational Agent (ECA) offer a new means to support smokers as a  virtual coach and motivate them to quit smoking. In this study we assess the  feasibility and acceptability of an ECA to support quit smoking (\"aka ECA-Q\").  ECA-Q, a 14-days program, delivered through Tablet computers, interacts with  participants with supporting messages for quit smoking and motivates them to set a  quit date. Study participants (n = 6) were Veterans receiving medical care at Boston  VA Healthcare System who responded to an open advertisement. Participants completed  a survey at baseline and after 14 days follow-up. All participants were satisfied  with the ECA program and liked the features of the agent; three out of six  participants had set a quit date by the end of the 14 days. Participants reported  several positive and less important features of the agent and made suggestions to  improve the agent. This study shows that a conversation agent is acceptable to  smoking veterans to help them in setting a quit date with an ultimate goal of quit  smoking. Insights gained from this study would be useful to redesign the current  version of ECA-Q program for a future randomized controlled trial to test the  efficacy.",
            "publicationTitle": "Journal of epidemiology and global health",
            "publisher": "",
            "place": "",
            "date": "2018 Dec",
            "volume": "8",
            "issue": "3-4",
            "section": "",
            "partNumber": "",
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            "pages": "225-230",
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            "rights": "© Atlantis Press International B.V.",
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            "tags": [
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                    "tag": "*Computers, Handheld"
                },
                {
                    "tag": "*Embodied conversational agent (ECA)"
                },
                {
                    "tag": "*Motivation"
                },
                {
                    "tag": "*Smoking Cessation/methods/psychology"
                },
                {
                    "tag": "*Smoking/psychology/therapy"
                },
                {
                    "tag": "*Veterans"
                },
                {
                    "tag": "*smoking cessation"
                },
                {
                    "tag": "Adult"
                },
                {
                    "tag": "Behavior Control/methods/psychology"
                },
                {
                    "tag": "Feasibility Studies"
                },
                {
                    "tag": "Female"
                },
                {
                    "tag": "Humans"
                },
                {
                    "tag": "Male"
                },
                {
                    "tag": "Reminder Systems/*instrumentation"
                },
                {
                    "tag": "Smokers/psychology"
                },
                {
                    "tag": "Treatment Outcome"
                },
                {
                    "tag": "United States"
                },
                {
                    "tag": "Veterans Health"
                },
                {
                    "tag": "Veterans/*psychology"
                }
            ],
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            "itemType": "journalArticle",
            "title": "Can Your Phone Be Your Therapist? Young People's Ethical Perspectives on the Use of  Fully Automated Conversational Agents (Chatbots) in Mental Health Support.",
            "creators": [
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                    "creatorType": "author",
                    "firstName": "Kira",
                    "lastName": "Kretzschmar"
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                    "lastName": "Tyroll"
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                {
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                    "firstName": "Gabriela",
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                    "firstName": "Arianna",
                    "lastName": "Manzini"
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                    "creatorType": "author",
                    "firstName": "Ilina",
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            ],
            "abstractNote": "Over the last decade, there has been an explosion of digital interventions that aim  to either supplement or replace face-to-face mental health services. More recently,  a number of automated conversational agents have also been made available, which  respond to users in ways that mirror a real-life interaction. What are the social  and ethical concerns that arise from these advances? In this article, we discuss,  from a young person's perspective, the strengths and limitations of using chatbots  in mental health support. We also outline what we consider to be minimum ethical  standards for these platforms, including issues surrounding privacy and  confidentiality, efficacy, and safety, and review three existing platforms (Woebot,  Joy, and Wysa) according to our proposed framework. It is our hope that this article  will stimulate ethical debate among app developers, practitioners, young people, and  other stakeholders, and inspire ethically responsible practice in digital mental  health.",
            "publicationTitle": "Biomedical informatics insights",
            "publisher": "",
            "place": "",
            "date": "2019",
            "volume": "11",
            "issue": "",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "1178222619829083",
            "series": "",
            "seriesTitle": "",
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            "journalAbbreviation": "Biomed Inform Insights",
            "DOI": "10.1177/1178222619829083",
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            "url": "",
            "accessDate": "",
            "PMID": "30858710",
            "PMCID": "PMC6402067",
            "ISSN": "1178-2226 1178-2226 1178-2226",
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            "archiveLocation": "",
            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
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            "tags": [
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                    "tag": "Chatbots"
                },
                {
                    "tag": "apps"
                },
                {
                    "tag": "artificial intelligence"
                },
                {
                    "tag": "conversational agent"
                },
                {
                    "tag": "digital mental health"
                },
                {
                    "tag": "human-computer interaction"
                },
                {
                    "tag": "mental health"
                },
                {
                    "tag": "therapy"
                },
                {
                    "tag": "young people"
                },
                {
                    "tag": "youth mental health"
                }
            ],
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            "creatorSummary": "Kocaballi et al.",
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            "title": "The Personalization of Conversational Agents in Health Care: Systematic Review.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Ahmet Baki",
                    "lastName": "Kocaballi"
                },
                {
                    "creatorType": "author",
                    "firstName": "Shlomo",
                    "lastName": "Berkovsky"
                },
                {
                    "creatorType": "author",
                    "firstName": "Juan C.",
                    "lastName": "Quiroz"
                },
                {
                    "creatorType": "author",
                    "firstName": "Liliana",
                    "lastName": "Laranjo"
                },
                {
                    "creatorType": "author",
                    "firstName": "Huong Ly",
                    "lastName": "Tong"
                },
                {
                    "creatorType": "author",
                    "firstName": "Dana",
                    "lastName": "Rezazadegan"
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                {
                    "creatorType": "author",
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                    "firstName": "Enrico",
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            "abstractNote": "BACKGROUND: The personalization of conversational agents with natural language user  interfaces is seeing increasing use in health care applications, shaping the  content, structure, or purpose of the dialogue between humans and conversational  agents. OBJECTIVE: The goal of this systematic review was to understand the ways in  which personalization has been used with conversational agents in health care and  characterize the methods of its implementation. METHODS: We searched on PubMed,  Embase, CINAHL, PsycInfo, and ACM Digital Library using a predefined search  strategy. The studies were included if they: (1) were primary research studies that  focused on consumers, caregivers, or health care professionals; (2) involved a  conversational agent with an unconstrained natural language interface; (3) tested  the system with human subjects; and (4) implemented personalization features.  RESULTS: The search found 1958 publications. After abstract and full-text screening,  13 studies were included in the review. Common examples of personalized content  included feedback, daily health reports, alerts, warnings, and recommendations. The  personalization features were implemented without a theoretical framework of  customization and with limited evaluation of its impact. While conversational agents  with personalization features were reported to improve user satisfaction, user  engagement and dialogue quality, the role of personalization in improving health  outcomes was not assessed directly. CONCLUSIONS: Most of the studies in our review  implemented the personalization features without theoretical or evidence-based  support for them and did not leverage the recent developments in other domains of  personalization. Future research could incorporate personalization as a distinct  design factor with a more careful consideration of its impact on health outcomes and  its implications on patient safety, privacy, and decision-making.",
            "publicationTitle": "Journal of medical Internet research",
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            "place": "",
            "date": "2019 Nov 7",
            "volume": "21",
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            "pages": "e15360",
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                    "tag": "*customization"
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                {
                    "tag": "*dialogue systems"
                },
                {
                    "tag": "*health care"
                },
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            "title": "Topoisomerase I interactive agents.",
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            "abstractNote": "Elucidation of the crystal structure of topoisomerase I will enhance the rational  development of topoisomerase I interactive agents. Although the first topoisomerase  I interactive agents were camptothecin derivatives, future drugs may be designed to  take advantage of the knowledge of the mechanism of interaction with topoisomerase I  to increase the therapeutic index. Preclinical studies designed to determine the  precise mechanism by which the topoisomerase I interactive agents lead to cell death  will be essential. Future clinical trials must rationally utilize the results of  preclinical studies in the design of combination regimens, both with other  cytotoxics and with the newer cytostatics. Moreover, the optimum schedule of  administration for irinotecan and topotecan are not known, although results of  preclinical studies clearly point to protracted dosing of these S-phase-specific  agents. Future clinical trials should evaluate these schedules in an effort to  optimize the currently available agents, prior to introducing new analogs, which may  not provide any therapeutic benefit over the current agents properly dosed. Finally,  many investigators are trying to better understand the mechanism(s) of the  dose-limiting toxicities observed with the currently available topoisomerase I  interactive agents (e.g., glucuronidation for irinotecan diarrhea). The results of  these studies may also enable the maximal dosing of the currently available agents.  Even though the first priority must be to determine the therapeutic potential of the  currently available agents, it is reassuring to know that many topoisomerase I  interactive agents are currently under development. However, it is essential that  these agents have the proper preclinical studies performed and that they be  rationally developed.",
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            "publisher": "",
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            "abstractNote": "Elucidation of the exact crystal structure of topoisomerase I will be essential to  the rationale development of topoisomerase I interactive agents. Although the  initial topoisomerase I interactive agents were camptothecin derivatives, future  drugs may be designed to take advantage of the knowledge of the mechanism of  interaction to increase the therapeutic index. However, preclinical studies designed  to determine the precise mechanism by which the topoisomerase I interactive agents  lead to cell death will be essential. Future clinical trials must rationally utilize  the results of preclinical studies in the design of combination regimens, both with  other cytotoxics and with the newer cytostatics. Moreover, the optimum schedule of  administration for irinotecan and topotecan are not known, although results of  preclinical studies clearly point to protracted dosing of these S-phase-specific  agents. Future clinical trials should evaluate these schedules in an effort to  optimize the currently available agents, prior to introducing new analogs, which may  not provide any therapeutic benefit over the current agents properly dosed. Finally,  numerous groups are trying to better understand the mechanism(s) of the  dose-limiting toxicities observed with the currently available topoisomerase I  interactive agents (e.g., glucuronidation for irinotecan diarrhea). The results of  these studies may also enable the maximal dosing of the currently available agents.  Even though the first priority must be to determine the therapeutic potential of the  currently available agents, it is reassuring to know that many topoisomerase I  interactive agents are currently under development. However, it is essential that  these agents have the proper preclinical studies performed and that they be  developed rationally.",
            "publicationTitle": "Cancer chemotherapy and biological response modifiers",
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            "place": "",
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            "title": "Self-Guided Web-Based Interventions: Scoping Review on User Needs and the Potential  of Embodied Conversational Agents to Address Them.",
            "creators": [
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                    "creatorType": "author",
                    "firstName": "Mark R.",
                    "lastName": "Scholten"
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            "abstractNote": "BACKGROUND: Web-based mental health interventions have evolved from innovative  prototypes to evidence-based and clinically applied solutions for mental diseases  such as depression and anxiety. Open-access, self-guided types of these solutions  hold the promise of reaching and treating a large population at a reasonable cost.  However, a considerable factor that currently hinders the effectiveness of these  self-guided Web-based interventions is the high level of nonadherence. The absence  of a human caregiver apparently has a negative effect on user adherence. It is  unknown to what extent this human support can be handed over to the technology of  the intervention to mitigate this negative effect. OBJECTIVE: The first objective of  this paper was to explore what is known in literature about what support a user  needs to stay motivated and engaged in an electronic health (eHealth) intervention  that requires repeated use. The second objective was to explore the current  potential of embodied conversational agents (ECAs) to provide this support. METHODS:  This study reviews and interprets the available literature on (1) support within  eHealth interventions that require repeated use and (2) the potential of ECAs by  means of a scoping review. The rationale for choosing a scoping review is that the  subject is broad, diverse, and largely unexplored. Themes for (1) and (2) were  proposed based on grounded theory and mapped on each other to find relationships.  RESULTS: The results of the first part of this study suggest the presence of user  needs that largely remain implicit and unaddressed. These support needs can be  categorized as task-related support and emotion-related support. The results of the  second part of this study suggest that ECAs are capable of engaging and motivating  users of information technology applications in the domains of learning and  behavioral change. Longitudinal studies must be conducted to determine under what  circumstances ECAs can create and maintain a productive user relationship. Mapping  the user needs on the ECAs' capabilities suggests that different kinds of ECAs may  provide different solutions for improving the adherence levels. CONCLUSIONS:  Autonomous ECAs that do not respond to a user's expressed emotion in real time but  take on empathic roles may be sufficient to motivate users to some extent. It is  unclear whether those types of ECAs are competent enough and create sufficient  believability among users to address the user's deeper needs for support and  empathy. Responsive ECAs may offer a better solution. However, at present, most of  these ECAs have difficulties to assess a user's emotional state in real time during  an open dialogue. By conducting future research with relationship theory-based ECAs,  the added value of ECAs toward user needs can be better understood.",
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            "rights": "©Mark R Scholten, Saskia M Kelders, Julia EWC Van Gemert-Pijnen. Originally  published in the Journal of Medical Internet Research (http://www.jmir.org),  16.11.2017.",
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            "creatorSummary": "Garg et al.",
            "parsedDate": "2018-12",
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        "data": {
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            "version": 73,
            "itemType": "journalArticle",
            "title": "Clinical Integration of Digital Solutions in Health Care: An Overview of the Current  Landscape of Digital Technologies in Cancer Care.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Shivank",
                    "lastName": "Garg"
                },
                {
                    "creatorType": "author",
                    "firstName": "Noelle L.",
                    "lastName": "Williams"
                },
                {
                    "creatorType": "author",
                    "firstName": "Andrew",
                    "lastName": "Ip"
                },
                {
                    "creatorType": "author",
                    "firstName": "Adam P.",
                    "lastName": "Dicker"
                }
            ],
            "abstractNote": "Digital health constitutes a merger of both software and hardware technology with  health care delivery and management, and encompasses a number of domains, from  wearable devices to artificial intelligence, each associated with widely disparate  interaction and data collection models. In this review, we focus on the landscape of  the current integration of digital health technology in cancer care by subdividing  digital health technologies into the following sections: connected devices, digital  patient information collection, telehealth, and digital assistants. In these  sections, we give an overview of the potential clinical impact of such technologies  as they pertain to key domains, including patient education, patient outcomes,  quality of life, and health care value. We performed a search of PubMed (  www.ncbi.nlm.nih.gov/pubmed ) and www.ClinicalTrials.gov for numerous terms related  to digital health technologies, including digital health, connected devices, smart  devices, wearables, activity trackers, connected sensors, remote monitoring,  electronic surveys, electronic patient-reported outcomes, telehealth, telemedicine,  artificial intelligence, chatbot, and digital assistants. The terms health care and  cancer were appended to the previously mentioned terms to filter results for  cancer-specific applications. From these results, studies were included that  exemplified use of the various domains of digital health technologies in oncologic  care. Digital health encompasses the integration of a vast array of technologies  with health care, each associated with varied methods of data collection and  information flow. Integration of these technologies into clinical practice has seen  applications throughout the spectrum of care, including cancer screening,  on-treatment patient management, acute post-treatment follow-up, and survivorship.  Implementation of these systems may serve to reduce costs and workflow  inefficiencies, as well as to improve overall health care value, patient outcomes,  and quality of life.",
            "publicationTitle": "JCO clinical cancer informatics",
            "publisher": "",
            "place": "",
            "date": "2018 Dec",
            "volume": "2",
            "issue": "",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "1-9",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "JCO Clin Cancer Inform",
            "DOI": "10.1200/CCI.17.00159",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "30652580",
            "PMCID": "",
            "ISSN": "2473-4276 2473-4276",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
            "callNumber": "",
            "rights": "",
            "extra": "Place: United States",
            "tags": [
                {
                    "tag": "Biomedical Technology/*instrumentation"
                },
                {
                    "tag": "Clinical Trials as Topic"
                },
                {
                    "tag": "Humans"
                },
                {
                    "tag": "Neoplasms/*therapy"
                },
                {
                    "tag": "Patient Education as Topic"
                },
                {
                    "tag": "Self Report"
                },
                {
                    "tag": "Surveys and Questionnaires"
                },
                {
                    "tag": "Telemedicine/*instrumentation"
                },
                {
                    "tag": "Wearable Electronic Devices"
                }
            ],
            "collections": [
                "7ZL85GUQ"
            ],
            "relations": {},
            "dateAdded": "2020-09-03T18:19:48Z",
            "dateModified": "2020-09-03T18:19:48Z"
        }
    },
    {
        "key": "M459HGZD",
        "version": 73,
        "library": {
            "type": "group",
            "id": 294924,
            "name": "Web Based Interventions -  PT-BR",
            "links": {
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                "href": "https://www.zotero.org/groups/web_based_interventions_-__pt-br/items/M459HGZD",
                "type": "text/html"
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        "meta": {
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                "username": "henrique",
                "name": "Henrique Pinto Gomide",
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            },
            "creatorSummary": "Pett et al.",
            "parsedDate": "2015",
            "numChildren": 0
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        "data": {
            "key": "M459HGZD",
            "version": 73,
            "itemType": "journalArticle",
            "title": "Therapeutic Agents Based on DNA Sequence Specific Binding.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Luke",
                    "lastName": "Pett"
                },
                {
                    "creatorType": "author",
                    "firstName": "John A.",
                    "lastName": "Hartley"
                },
                {
                    "creatorType": "author",
                    "firstName": "Konstantinos",
                    "lastName": "Kiakos"
                }
            ],
            "abstractNote": "DNA interactive agents have been used in the clinical setting for the treatment of  cancer since the beginning of modern-era chemotherapy. Despite a shift of focus  towards molecular targeted therapy, DNA remains a critical macromolecular target for  anti-cancer intervention and the next generation of agents must conform to the  optimum combination of increased therapeutic activity and reduced off-target  toxicity. We evaluate the potential of non-covalent DNA binding small molecules as  \"gene-control\" agents, exploiting inherent or engineered sequence selectivity, to  target critical genomic sequences. In addition we review examples of natural  products and synthetic derivatives that exert their activity through sequence  specific DNA-covalent modification.",
            "publicationTitle": "Current topics in medicinal chemistry",
            "publisher": "",
            "place": "",
            "date": "2015",
            "volume": "15",
            "issue": "14",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "1293-1322",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "Curr Top Med Chem",
            "DOI": "10.2174/1568026615666150413155431",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "25866278",
            "PMCID": "",
            "ISSN": "1873-4294 1568-0266",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
            "callNumber": "",
            "rights": "",
            "extra": "Place: United Arab Emirates",
            "tags": [
                {
                    "tag": "*Molecular Targeted Therapy"
                },
                {
                    "tag": "Base Sequence"
                },
                {
                    "tag": "Binding Sites/drug effects/*genetics"
                },
                {
                    "tag": "Biological Products/chemical synthesis/chemistry/*pharmacology"
                },
                {
                    "tag": "DNA, Neoplasm/*drug effects/*genetics"
                },
                {
                    "tag": "Humans"
                },
                {
                    "tag": "Neoplasms/*drug therapy/*genetics"
                },
                {
                    "tag": "Substrate Specificity"
                }
            ],
            "collections": [
                "7ZL85GUQ"
            ],
            "relations": {},
            "dateAdded": "2020-09-03T18:19:48Z",
            "dateModified": "2020-09-03T18:19:48Z"
        }
    },
    {
        "key": "AUENVLXZ",
        "version": 73,
        "library": {
            "type": "group",
            "id": 294924,
            "name": "Web Based Interventions -  PT-BR",
            "links": {
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                "href": "https://api.zotero.org/groups/294924/items/AUENVLXZ",
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                "href": "https://www.zotero.org/groups/web_based_interventions_-__pt-br/items/AUENVLXZ",
                "type": "text/html"
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                "username": "henrique",
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            },
            "creatorSummary": "Tielman et al.",
            "parsedDate": "2019-03-18",
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        "data": {
            "key": "AUENVLXZ",
            "version": 73,
            "itemType": "journalArticle",
            "title": "Considering patient safety in autonomous e-mental health systems - detecting risk  situations and referring patients back to human care.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Myrthe L.",
                    "lastName": "Tielman"
                },
                {
                    "creatorType": "author",
                    "firstName": "Mark A.",
                    "lastName": "Neerincx"
                },
                {
                    "creatorType": "author",
                    "firstName": "Claudia",
                    "lastName": "Pagliari"
                },
                {
                    "creatorType": "author",
                    "firstName": "Albert",
                    "lastName": "Rizzo"
                },
                {
                    "creatorType": "author",
                    "firstName": "Willem-Paul",
                    "lastName": "Brinkman"
                }
            ],
            "abstractNote": "BACKGROUND: Digital health interventions can fill gaps in mental healthcare  provision. However, autonomous e-mental health (AEMH) systems also present  challenges for effective risk management. To balance autonomy and safety, AEMH  systems need to detect risk situations and act on these appropriately. One option is  sending automatic alerts to carers, but such 'auto-referral' could lead to missed  cases or false alerts. Requiring users to actively self-refer offers an alternative,  but this can also be risky as it relies on their motivation to do so. This study set  out with two objectives. Firstly, to develop guidelines for risk detection and  auto-referral systems. Secondly, to understand how persuasive techniques, mediated  by a virtual agent, can facilitate self-referral. METHODS: In a formative phase,  interviews with experts, alongside a literature review, were used to develop a risk  detection protocol. Two referral protocols were developed - one involving  auto-referral, the other motivating users to self-refer. This latter was tested via  crowd-sourcing (n = 160). Participants were asked to imagine they had sleeping  problems with differing severity and user stance on seeking help. They then chatted  with a virtual agent, who either directly facilitated referral, tried to persuade  the user, or accepted that they did not want help. After the conversation,  participants rated their intention to self-refer, to chat with the agent again, and  their feeling of being heard by the agent. RESULTS: Whether the virtual agent  facilitated, persuaded or accepted, influenced all of these measures. Users who were  initially negative or doubtful about self-referral could be persuaded. For users who  were initially positive about seeking human care, this persuasion did not affect  their intentions, indicating that a simply facilitating referral without persuasion  was sufficient. CONCLUSION: This paper presents a protocol that elucidates the steps  and decisions involved in risk detection, something that is relevant for all types  of AEMH systems. In the case of self-referral, our study shows that a virtual agent  can increase users' intention to self-refer. Moreover, the strategy of the agent  influenced the intentions of the user afterwards. This highlights the importance of  a personalised approach to promote the user's access to appropriate care.",
            "publicationTitle": "BMC medical informatics and decision making",
            "publisher": "",
            "place": "",
            "date": "2019 Mar 18",
            "volume": "19",
            "issue": "1",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "47",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "BMC Med Inform Decis Mak",
            "DOI": "10.1186/s12911-019-0796-x",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "30885190",
            "PMCID": "PMC6421702",
            "ISSN": "1472-6947 1472-6947",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
            "callNumber": "",
            "rights": "",
            "extra": "",
            "tags": [
                {
                    "tag": "*Assistive technologies"
                },
                {
                    "tag": "*Chatbots"
                },
                {
                    "tag": "*Conversational agents"
                },
                {
                    "tag": "*Mental Health Services"
                },
                {
                    "tag": "*Patient Safety"
                },
                {
                    "tag": "*Persuasive Communication"
                },
                {
                    "tag": "*Persuasive computing"
                },
                {
                    "tag": "*Referral and Consultation"
                },
                {
                    "tag": "*Risk"
                },
                {
                    "tag": "*Robotics"
                },
                {
                    "tag": "*Telemedicine"
                },
                {
                    "tag": "*Virtual agents"
                },
                {
                    "tag": "*eHealth"
                },
                {
                    "tag": "Adult"
                },
                {
                    "tag": "Female"
                },
                {
                    "tag": "Humans"
                },
                {
                    "tag": "Male"
                },
                {
                    "tag": "Mental Disorders/*therapy"
                },
                {
                    "tag": "Middle Aged"
                },
                {
                    "tag": "Risk Assessment/*methods"
                }
            ],
            "collections": [
                "7ZL85GUQ"
            ],
            "relations": {},
            "dateAdded": "2020-09-03T18:19:48Z",
            "dateModified": "2020-09-03T18:19:48Z"
        }
    },
    {
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        "version": 73,
        "library": {
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            },
            "creatorSummary": "Cozzi et al.",
            "parsedDate": "2004-03",
            "numChildren": 0
        },
        "data": {
            "key": "RMG6S8DE",
            "version": 73,
            "itemType": "journalArticle",
            "title": "Recent anticancer cytotoxic agents.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Paolo",
                    "lastName": "Cozzi"
                },
                {
                    "creatorType": "author",
                    "firstName": "Nicola",
                    "lastName": "Mongelli"
                },
                {
                    "creatorType": "author",
                    "firstName": "Antonino",
                    "lastName": "Suarato"
                }
            ],
            "abstractNote": "In spite of the impressive progress in diagnosis, surgery and therapy that occurred  since the Sixties, the overall cancer mortality is still high and the medical need  is largely unmet. A number of innovative strategies, aimed to target malignant  abnormalities of tumor cells are in development and begin to give important results.  In alternative, angiogenesis inhibition has been addressed with the aim to limit the  tumor ability to grow and metastasize. However, it will likely take some years to  fully define the therapeutic role of different innovative drugs. Therefore,  cytotoxic drugs will continue to represent a chief part of the therapy in the  forthcoming years, possibly in combination with innovative agents addressing  molecular targets. Most important traditional chemotherapeutic drugs or  investigational anticancer agents were derived from natural sources also through  synthetic structural modifications. In the Nineties, taxanes and camptothecins  represented important success stories of this approach, while among DNA interacting  agents anthracyclines continued to represent a structural platform for discovering  new drugs and DNA minor groove binders represented a new field of investigation.  Combinatorial chemistry combined with high-throughput screening programs are an  important source of totally synthetic new agents, however, it should not be  disregarded the fact that nature already performed combinatorial chemistry and leads  selection through the ages. New natural or semisynthetic agents acting as tubulin  stabilizers or DNA interactive agents of various mechanisms of action are presently  investigated and will probably continue to give important contribution to cancer  therapy in the near future. In this review, the medicinal chemistry and the  development status of these anticancer cytotoxic agents are focused and discussed.",
            "publicationTitle": "Current medicinal chemistry. Anti-cancer agents",
            "publisher": "",
            "place": "",
            "date": "2004 Mar",
            "volume": "4",
            "issue": "2",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "93-121",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "Curr Med Chem Anticancer Agents",
            "DOI": "10.2174/1568011043482061",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "15032717",
            "PMCID": "",
            "ISSN": "1568-0118 1568-0118",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
            "callNumber": "",
            "rights": "",
            "extra": "Place: Netherlands",
            "tags": [
                {
                    "tag": "Animals"
                },
                {
                    "tag": "Anthracyclines/chemistry/metabolism/*pharmacology"
                },
                {
                    "tag": "Antineoplastic Agents/chemistry/metabolism/*pharmacology"
                },
                {
                    "tag": "Camptothecin/chemistry/metabolism/pharmacology"
                },
                {
                    "tag": "Clinical Trials as Topic"
                },
                {
                    "tag": "DNA, Neoplasm/metabolism"
                },
                {
                    "tag": "Humans"
                },
                {
                    "tag": "Microtubules/drug effects"
                },
                {
                    "tag": "Neoplasms/drug therapy/metabolism"
                },
                {
                    "tag": "Prodrugs/chemistry/metabolism/pharmacology"
                },
                {
                    "tag": "Structure-Activity Relationship"
                }
            ],
            "collections": [
                "7ZL85GUQ"
            ],
            "relations": {},
            "dateAdded": "2020-09-03T18:19:48Z",
            "dateModified": "2020-09-03T18:19:48Z"
        }
    },
    {
        "key": "3Q9XFWY7",
        "version": 73,
        "library": {
            "type": "group",
            "id": 294924,
            "name": "Web Based Interventions -  PT-BR",
            "links": {
                "alternate": {
                    "href": "https://www.zotero.org/groups/web_based_interventions_-__pt-br",
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                "href": "https://api.zotero.org/groups/294924/items/3Q9XFWY7",
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                "href": "https://www.zotero.org/groups/web_based_interventions_-__pt-br/items/3Q9XFWY7",
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            "createdByUser": {
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                "username": "henrique",
                "name": "Henrique Pinto Gomide",
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            "creatorSummary": "Hone-Blanchet et al.",
            "parsedDate": "2014",
            "numChildren": 0
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        "data": {
            "key": "3Q9XFWY7",
            "version": 73,
            "itemType": "journalArticle",
            "title": "The use of virtual reality in craving assessment and cue-exposure therapy in  substance use disorders.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Antoine",
                    "lastName": "Hone-Blanchet"
                },
                {
                    "creatorType": "author",
                    "firstName": "Tobias",
                    "lastName": "Wensing"
                },
                {
                    "creatorType": "author",
                    "firstName": "Shirley",
                    "lastName": "Fecteau"
                }
            ],
            "abstractNote": "Craving is recognized as an important diagnosis criterion for substance use  disorders (SUDs) and a predictive factor of relapse. Various methods to study  craving exist; however, suppressing craving to successfully promote abstinence  remains an unmet clinical need in SUDs. One reason is that social and environmental  contexts recalling drug and alcohol consumption in the everyday life of patients  suffering from SUDs often initiate craving and provoke relapse. Current behavioral  therapies for SUDs use the cue-exposure approach to suppress salience of social and  environmental contexts that may induce craving. They facilitate learning and  cognitive reinforcement of new behavior and entrain craving suppression in the  presence of cues related to drug and alcohol consumption. Unfortunately, craving  often overweighs behavioral training especially in real social and environmental  contexts with peer pressure encouraging the use of substance, such as parties and  bars. In this perspective, virtual reality (VR) is gaining interest in the  development of cue-reactivity paradigms and practices new skills in treatment. VR  enhances ecological validity of traditional craving-induction measurement. In this  review, we discuss results from (1) studies using VR and alternative virtual agents  in the induction of craving and (2) studies combining cue-exposure therapy with VR  in the promotion of abstinence from drugs and alcohol use. They used virtual  environments, displaying alcohol and drugs to SUD patients. Moreover, some  environments included avatars. Hence, some studies have focused on the social  interactions that are associated with drug-seeking behaviors and peer pressure.  Findings indicate that VR can successfully increase craving. Studies combining  cue-exposure therapy with virtual environment, however, reported mitigated success  so far.",
            "publicationTitle": "Frontiers in human neuroscience",
            "publisher": "",
            "place": "",
            "date": "2014",
            "volume": "8",
            "issue": "",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "844",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "Front Hum Neurosci",
            "DOI": "10.3389/fnhum.2014.00844",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "25368571",
            "PMCID": "PMC4201090",
            "ISSN": "1662-5161 1662-5161 1662-5161",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
            "callNumber": "",
            "rights": "",
            "extra": "",
            "tags": [
                {
                    "tag": "avatars"
                },
                {
                    "tag": "craving"
                },
                {
                    "tag": "cue exposure"
                },
                {
                    "tag": "substance use disorders"
                },
                {
                    "tag": "virtual reality"
                }
            ],
            "collections": [
                "7ZL85GUQ"
            ],
            "relations": {},
            "dateAdded": "2020-09-03T18:19:48Z",
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            },
            "creatorSummary": "de Cock et al.",
            "parsedDate": "2020-03-09",
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        "data": {
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            "version": 73,
            "itemType": "journalArticle",
            "title": "Effectiveness of Conversational Agents (Virtual Assistants) in Health Care: Protocol  for a Systematic Review.",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Caroline",
                    "lastName": "de Cock"
                },
                {
                    "creatorType": "author",
                    "firstName": "Madison",
                    "lastName": "Milne-Ives"
                },
                {
                    "creatorType": "author",
                    "firstName": "Michelle Helena",
                    "lastName": "van Velthoven"
                },
                {
                    "creatorType": "author",
                    "firstName": "Abrar",
                    "lastName": "Alturkistani"
                },
                {
                    "creatorType": "author",
                    "firstName": "Ching",
                    "lastName": "Lam"
                },
                {
                    "creatorType": "author",
                    "firstName": "Edward",
                    "lastName": "Meinert"
                }
            ],
            "abstractNote": "BACKGROUND: Conversational agents (also known as chatbots) have evolved in recent  decades to become multimodal, multifunctional platforms with potential to automate a  diverse range of health-related activities supporting the general public, patients,  and physicians. Multiple studies have reported the development of these agents, and  recent systematic reviews have described the scope of use of conversational agents  in health care. However, there is scarce research on the effectiveness of these  systems; thus, their viability and applicability are unclear. OBJECTIVE: The  objective of this systematic review is to assess the effectiveness of conversational  agents in health care and to identify limitations, adverse events, and areas for  future investigation of these agents. METHODS: The Preferred Reporting Items for  Systematic Reviews and Meta-Analyses Protocols will be used to structure this  protocol. The focus of the systematic review is guided by a population,  intervention, comparator, and outcome framework. A systematic search of the PubMed  (Medline), EMBASE, CINAHL, and Web of Science databases will be conducted. Two  authors will independently screen the titles and abstracts of the identified  references and select studies according to the eligibility criteria. Any  discrepancies will then be discussed and resolved. Two reviewers will independently  extract and validate data from the included studies into a standardized form and  conduct quality appraisal. RESULTS: As of January 2020, we have begun a preliminary  literature search and piloting of the study selection process. CONCLUSIONS: This  systematic review aims to clarify the effectiveness, limitations, and future  applications of conversational agents in health care. Our findings may be useful to  inform the future development of conversational agents and promote the  personalization of patient care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID):  PRR1-10.2196/16934.",
            "publicationTitle": "JMIR research protocols",
            "publisher": "",
            "place": "",
            "date": "2020 Mar 9",
            "volume": "9",
            "issue": "3",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "e16934",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "JMIR Res Protoc",
            "DOI": "10.2196/16934",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "32149717",
            "PMCID": "PMC7091022",
            "ISSN": "1929-0748 1929-0748 1929-0748",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "eng",
            "libraryCatalog": "",
            "callNumber": "",
            "rights": "©Caroline de Cock, Madison Milne-Ives, Michelle Helena van Velthoven, Abrar  Alturkistani, Ching Lam, Edward Meinert. Originally published in JMIR Research  Protocols (http://www.researchprotocols.org), 09.03.2020.",
            "extra": "",
            "tags": [
                {
                    "tag": "artificial intelligence"
                },
                {
                    "tag": "avatar"
                },
                {
                    "tag": "chatbot"
                },
                {
                    "tag": "conversational agent"
                },
                {
                    "tag": "digital health"
                },
                {
                    "tag": "intelligent assistant"
                },
                {
                    "tag": "speech recognition software"
                },
                {
                    "tag": "virtual assistant"
                },
                {
                    "tag": "virtual coach"
                },
                {
                    "tag": "virtual health care"
                },
                {
                    "tag": "virtual nursing"
                },
                {
                    "tag": "voice recognition software"
                }
            ],
            "collections": [
                "7ZL85GUQ"
            ],
            "relations": {},
            "dateAdded": "2020-09-03T18:19:48Z",
            "dateModified": "2020-09-03T18:19:48Z"
        }
    }
]