Published on in Vol 2, No 2 (2017): Jul-Dec
Journals
- Mandigout S, Perrochon A, Fernandez L, Rezzoug N, Encelle B, Kanellos I, Ricard D, Bouet M, Shneider M, Buffat S. A Multidimensional Data Acquisition as a Preliminary Step to the Secondary Prevention of the Loss of Autonomy for Patients with Traumatic Injury and Stroke: An AMISIA Pilot Study. IRBM 2020;41(6):316 View
- Maeda E, Miyata A, Boivin J, Nomura K, Kumazawa Y, Shirasawa H, Saito H, Terada Y. Promoting fertility awareness and preconception health using a chatbot: a randomized controlled trial. Reproductive BioMedicine Online 2020;41(6):1133 View
- Issom D, Henriksen A, Woldaregay A, Rochat J, Lovis C, Hartvigsen G. Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of Patient Requirements. JMIR Human Factors 2020;7(1):e14599 View
- Javaid M, Haleem A, Khan I, Vaishya R, Vaish A. Extending Capabilities of Artificial Intelligence for Decision-Making and Healthcare Education. Apollo Medicine 2020;17(1):53 View
- Lin S, Mahoney M, Sinsky C. Ten Ways Artificial Intelligence Will Transform Primary Care. Journal of General Internal Medicine 2019;34(8):1626 View
- Kaufman N, Ferrin C, Sugrue D. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2019;21(S1):S-79 View
- Maher C, Davis C, Curtis R, Short C, Murphy K. A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study. JMIR mHealth and uHealth 2020;8(7):e17558 View
- Arena R, Ozemek C, Laddu D, Campbell T, Rouleau C, Standley R, Bond S, Abril E, Hills A, Lavie C. Applying Precision Medicine to Healthy Living for the Prevention and Treatment of Cardiovascular Disease. Current Problems in Cardiology 2018;43(12):448 View
- Turchioe M, Heitkemper E, Lor M, Burgermaster M, Mamykina L. Designing for engagement with self-monitoring: A user-centered approach with low-income, Latino adults with Type 2 Diabetes. International Journal of Medical Informatics 2019;130:103941 View
- Levine B, Close K, Gabbay R. Reviewing U.S. Connected Diabetes Care: The Newest Member of the Team. Diabetes Technology & Therapeutics 2020;22(1):1 View
- Ploug T, Holm S. The right to refuse diagnostics and treatment planning by artificial intelligence. Medicine, Health Care and Philosophy 2020;23(1):107 View
- Brar Prayaga R, Agrawal R, Nguyen B, Jeong E, Noble H, Paster A, Prayaga R. Impact of Social Determinants of Health and Demographics on Refill Requests by Medicare Patients Using a Conversational Artificial Intelligence Text Messaging Solution: Cross-Sectional Study. JMIR mHealth and uHealth 2019;7(11):e15771 View
- Muralidharan S, Ranjani H, Mohan Anjana R, Jena S, Tandon N, Gupta Y, Ambekar S, Koppikar V, Jagannathan N, Allender S, Mohan V. Engagement and Weight Loss: Results from the Mobile Health and Diabetes Trial. Diabetes Technology & Therapeutics 2019;21(9):507 View
- Zhang J, Oh Y, Lange P, Yu Z, Fukuoka Y. Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint. Journal of Medical Internet Research 2020;22(9):e22845 View
- Meyer R, Spittel S, Steinfurth L, Funke A, Kettemann D, Münch C, Meyer T, Maier A. Patient-Reported Outcome of Physical Therapy in Amyotrophic Lateral Sclerosis: Observational Online Study. JMIR Rehabilitation and Assistive Technologies 2018;5(2):e10099 View
- Song H. Clinical Psychology in the Age of in the new technology : focusing on the recent studies trends. The Korean Journal of Psychology: General 2019;38(4):549 View
- Bardus M, Hamadeh G, Hayek B, Al Kherfan R. A Self-Directed Mobile Intervention (WaznApp) to Promote Weight Control Among Employees at a Lebanese University: Protocol for a Feasibility Pilot Randomized Controlled Trial. JMIR Research Protocols 2018;7(5):e133 View
- Neborachko M, Pkhakadze A, Vlasenko I. Current trends of digital solutions for diabetes management. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2019;13(5):2997 View
- Tudor Car L, Dhinagaran D, Kyaw B, Kowatsch T, Joty S, Theng Y, Atun R. Conversational Agents in Health Care: Scoping Review and Conceptual Analysis. Journal of Medical Internet Research 2020;22(8):e17158 View
- Issom D, Hardy-Dessources M, Romana M, Hartvigsen G, Lovis C. Toward a Conversational Agent to Support the Self-Management of Adults and Young Adults With Sickle Cell Disease: Usability and Usefulness Study. Frontiers in Digital Health 2021;3 View
- Falter M, Scherrenberg M, Dendale P. Digital Health in Cardiac Rehabilitation and Secondary Prevention: A Search for the Ideal Tool. Sensors 2020;21(1):12 View
- Tsakanikas V, Gatsios D, Dimopoulos D, Pardalis A, Pavlou M, Liston M, Fotiadis D. Evaluating the Performance of Balance Physiotherapy Exercises Using a Sensory Platform: The Basis for a Persuasive Balance Rehabilitation Virtual Coaching System. Frontiers in Digital Health 2020;2 View
- Rafferty A, Hall R, Johnston C. A Novel Mobile App (Heali) for Disease Treatment in Participants With Irritable Bowel Syndrome: Randomized Controlled Pilot Trial. Journal of Medical Internet Research 2021;23(3):e24134 View
- Liu S, Ko Q, Heng K, Ngiam K, Feng M. Healthcare Transformation in Singapore With Artificial Intelligence. Frontiers in Digital Health 2020;2 View
- Morgenstern J, Rosella L, Daley M, Goel V, Schünemann H, Piggott T. “AI’s gonna have an impact on everything in society, so it has to have an impact on public health”: a fundamental qualitative descriptive study of the implications of artificial intelligence for public health. BMC Public Health 2021;21(1) View
- Davis C, Murphy K, Curtis R, Maher C. A Process Evaluation Examining the Performance, Adherence, and Acceptability of a Physical Activity and Diet Artificial Intelligence Virtual Health Assistant. International Journal of Environmental Research and Public Health 2020;17(23):9137 View
- Snir M, Nazareth S, Simmons E, Hayward L, Ashcraft K, Bristow S, Esplin E, Aradhya S. Democratizing genomics: Leveraging software to make genetics an integral part of routine care. American Journal of Medical Genetics Part C: Seminars in Medical Genetics 2021;187(1):14 View
- Chew H, Ang W, Lau Y. The potential of artificial intelligence in enhancing adult weight loss: a scoping review. Public Health Nutrition 2021;24(8):1993 View
- Lopez-Picazo J, Vidal-Abarca I, Beteta D, López-Ibáñez M, García-Vázquez E. Impact of the COVID-19 Pandemic on the Hospital: Inpatient’s Perceived Quality in Spain. Journal of Patient Experience 2021;8 View
- Thomas Craig K, Morgan L, Chen C, Michie S, Fusco N, Snowdon J, Scheufele E, Gagliardi T, Sill S. Systematic review of context-aware digital behavior change interventions to improve health. Translational Behavioral Medicine 2021;11(5):1037 View
- Nyrup R. From General Principles to Procedural Values: Responsible Digital Health Meets Public Health Ethics. Frontiers in Digital Health 2021;3 View
- Petroni M, Brodosi L, Marchignoli F, Sasdelli A, Caraceni P, Marchesini G, Ravaioli F. Nutrition in Patients with Type 2 Diabetes: Present Knowledge and Remaining Challenges. Nutrients 2021;13(8):2748 View
- Zhou X, Chen L, Liu H. Applications of Machine Learning Models to Predict and Prevent Obesity: A Mini-Review. Frontiers in Nutrition 2022;9 View
- Goh Y, Ow Yong J, Chee B, Kuek J, Ho C. Machine Learning in Health Promotion and Behavioral Change: Scoping Review. Journal of Medical Internet Research 2022;24(6):e35831 View
- Chew H. The Use of Artificial Intelligence–Based Conversational Agents (Chatbots) for Weight Loss: Scoping Review and Practical Recommendations. JMIR Medical Informatics 2022;10(4):e32578 View
- Peng X, Tang L. Exploring the Characteristics of Physical Exercise in Students and the Path of Health Education. Frontiers in Psychology 2021;12 View
- Job J, Eakin E, Reeves M, Fjeldsoe B. Evaluation of the Healthy Living after Cancer text message-delivered, extended contact intervention using the RE-AIM framework. BMC Cancer 2021;21(1) View
- Lyzwinski L, Elgendi M, Menon C. Conversational Agents and Avatars for Cardiometabolic Risk Factors and Lifestyle-Related Behaviors: Scoping Review. JMIR mHealth and uHealth 2023;11:e39649 View
- Schmidlen T, Jones C, Campbell‐Salome G, McCormick C, Vanenkevort E, Sturm A. Use of a chatbot to increase uptake of cascade genetic testing. Journal of Genetic Counseling 2022;31(5):1219 View
- Graham S, Pitter V, Hori J, Stein N, Branch O. Weight loss in a digital app-based diabetes prevention program powered by artificial intelligence. DIGITAL HEALTH 2022;8:205520762211306 View
- Ta-Johnson V, Boatfield C, Wang X, DeCero E, Krupica I, Rasof S, Motzer A, Pedryc W. Assessing the Topics and Motivating Factors Behind Human-Social Chatbot Interactions: Thematic Analysis of User Experiences. JMIR Human Factors 2022;9(4):e38876 View
- op den Akker H, Cabrita M, Pnevmatikakis A. Digital Therapeutics: Virtual Coaching Powered by Artificial Intelligence on Real-World Data. Frontiers in Computer Science 2021;3 View
- Cranefield J, Winikoff M, Chiu Y, Li Y, Doyle C, Richter A. Partnering with AI: the case of digital productivity assistants. Journal of the Royal Society of New Zealand 2023;53(1):95 View
- Salas-Groves E, Galyean S, Alcorn M, Childress A. Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review. JMIR mHealth and uHealth 2023;11:e41235 View
- Fisher S, Rosella L. Priorities for successful use of artificial intelligence by public health organizations: a literature review. BMC Public Health 2022;22(1) View
- Bombard Y, Ginsburg G, Sturm A, Zhou A, Lemke A. Digital health-enabled genomics: Opportunities and challenges. The American Journal of Human Genetics 2022;109(7):1190 View
- Chu Y, Huang R, Chen T, Lin W, Tang J, Lin C, Huang C, Lin C, Chen J, Kurtz-Rossi S, Sørensen K. Effect of health literacy and shared decision-making on choice of weight-loss plan among overweight or obese participants receiving a prototype artificial intelligence robot intervention facilitating weight-loss management decisions. DIGITAL HEALTH 2022;8:205520762211363 View
- Szinay D, Forbes C, Busse H, DeSmet A, Smit E, König L. Is the uptake, engagement, and effectiveness of exclusively mobile interventions for the promotion of weight‐related behaviors equal for all? A systematic review. Obesity Reviews 2023;24(3) View
- Amagai S, Pila S, Kaat A, Nowinski C, Gershon R. Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. Journal of Medical Internet Research 2022;24(4):e35120 View
- Budler L, Gosak L, Stiglic G. Review of artificial intelligence‐based question‐answering systems in healthcare. WIREs Data Mining and Knowledge Discovery 2023;13(2) View
- Luca S, Clausen M, Shaw A, Lee W, Krishnapillai S, Adi-Wauran E, Faghfoury H, Costain G, Jobling R, Aronson M, Liston E, Silver J, Shuman C, Chad L, Hayeems R, Bombard Y, Bernier F, Brudno M, Carroll J, Cohn R, Dhalla I, Friedman J, Hewson S, Jamieson T, Kodida R, Laberge A, Lerner-Ellis J, Mamdani M, Marshall C, Osmond M, Pham Q, Reble E, Rudzicz F, Seto E, Shastri-Estrada S, Smith M, Thorpe K, Ungar W. Finding the sweet spot: a qualitative study exploring patients’ acceptability of chatbots in genetic service delivery. Human Genetics 2023;142(3):321 View
- Maier A, Gaudlitz M, Grehl T, Weyen U, Steinbach R, Grosskreutz J, Rödiger A, Koch J, Lengenfeld T, Weydt P, Günther R, Wolf J, Baum P, Metelmann M, Dorst J, Ludolph A, Kettemann D, Norden J, Koc R, Walter B, Hildebrandt B, Münch C, Meyer T, Spittel S. Use and subjective experience of the impact of motor-assisted movement exercisers in people with amyotrophic lateral sclerosis: a multicenter observational study. Scientific Reports 2022;12(1) View
- Fjeldsoe B, Goode A, Job J, Eakin E, Spilsbury K, Winkler E. Dose and engagement during an extended contact physical activity and dietary behavior change intervention delivered via tailored text messaging: exploring relationships with behavioral outcomes. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1) View
- König L, Van Emmenis M, Nurmi J, Kassavou A, Sutton S. Characteristics of smartphone-based dietary assessment tools: a systematic review. Health Psychology Review 2022;16(4):526 View
- Antoun J, Itani H, Alarab N, Elsehmawy A. The Effectiveness of Combining Nonmobile Interventions With the Use of Smartphone Apps With Various Features for Weight Loss: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(4):e35479 View
- Chew H, Gao Y, Shabbir A, Lim S, Geetha K, Kim G, Chong C, Lomanto D, So B. Personal motivation, self-regulation barriers and strategies for weight loss in people with overweight and obesity: a thematic framework analysis. Public Health Nutrition 2022;25(9):2426 View
- Kyung N, Kwon H. Rationally trust, but emotionally? The roles of cognitive and affective trust in laypeople's acceptance of AI for preventive care operations. Production and Operations Management 2022 View
- Kazemi S, Tavafian S, Montazeri A. The Social Media Intervention For Lower Back Pain Education Study (SMILE): A Protocol For A Randomized Trial To Reduce Occupational Low Back Pain In Nursing Professionals. International Journal of Musculoskeletal Pain Prevention 2019;4(3):211 View
- Aggarwal A, Tam C, Wu D, Li X, Qiao S. Artificial Intelligence–Based Chatbots for Promoting Health Behavioral Changes: Systematic Review. Journal of Medical Internet Research 2023;25:e40789 View
- Ollier J, Nißen M, von Wangenheim F. The Terms of “You(s)”: How the Term of Address Used by Conversational Agents Influences User Evaluations in French and German Linguaculture. Frontiers in Public Health 2022;9 View
- Brůha P, Mouček R, Salamon J, Vacek V. Workflow for health-related and brain data lifecycle. Frontiers in Digital Health 2022;4 View
- Morrow E, Zidaru T, Ross F, Mason C, Patel K, Ream M, Stockley R. Artificial intelligence technologies and compassion in healthcare: A systematic scoping review. Frontiers in Psychology 2023;13 View
- Chew H, Achananuparp P. Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review. Journal of Medical Internet Research 2022;24(1):e32939 View
- Hellmann A, Emmons A, Stewart Prime M, Paranjape K, Heaney D. Digital Health. Clinics in Laboratory Medicine 2023;43(1):71 View
- Dwivedi Y, Kshetri N, Hughes L, Slade E, Jeyaraj A, Kar A, Baabdullah A, Koohang A, Raghavan V, Ahuja M, Albanna H, Albashrawi M, Al-Busaidi A, Balakrishnan J, Barlette Y, Basu S, Bose I, Brooks L, Buhalis D, Carter L, Chowdhury S, Crick T, Cunningham S, Davies G, Davison R, Dé R, Dennehy D, Duan Y, Dubey R, Dwivedi R, Edwards J, Flavián C, Gauld R, Grover V, Hu M, Janssen M, Jones P, Junglas I, Khorana S, Kraus S, Larsen K, Latreille P, Laumer S, Malik F, Mardani A, Mariani M, Mithas S, Mogaji E, Nord J, O’Connor S, Okumus F, Pagani M, Pandey N, Papagiannidis S, Pappas I, Pathak N, Pries-Heje J, Raman R, Rana N, Rehm S, Ribeiro-Navarrete S, Richter A, Rowe F, Sarker S, Stahl B, Tiwari M, van der Aalst W, Venkatesh V, Viglia G, Wade M, Walton P, Wirtz J, Wright R. Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management 2023;71:102642 View
- Noh E, Won J, Jo S, Hahm D, Lee H. Conversational Agents for Body Weight Management: Systematic Review. Journal of Medical Internet Research 2023;25:e42238 View
- Choi J, Woo S, Ferrell A. Artificial intelligence assisted telehealth for nursing: A scoping review. Journal of Telemedicine and Telecare 2023 View
- Zheng S, Edney S, Mair J, Kowatsch T, Castro O, Salamanca-Sanabria A, Müller‐Riemenschneider F. Holistic mHealth interventions for the promotion of healthy ageing: protocol for a systematic review. BMJ Open 2023;13(5):e066662 View
- Garzon-Siatoya W, Morales-Lara A, Adedinsewo D. Artificial Intelligence Solutions for Cardiovascular Disease Detection and Management in Women: Promise and Perils. Cardiovascular Innovations and Applications 2023;8(1) View
- Ridho W. An Examination of the Opportunities and Challenges of Conversational Artificial Intelligence in Small and Medium Enterprises. Review of Business and Economics Studies 2023;11(3):6 View
- Gellert G, Rasławska-Socha J, Marcjasz N, Price T, Heyduk A, Mlodawska A, Kuszczyński K, Jędruch A, Orzechowski P. The Role of Virtual Triage in Improving Clinician Experience and Satisfaction: A Narrative Review. Telemedicine Reports 2023;4(1):180 View
- Griffin A, Khairat S, Bailey S, Chung A. A chatbot for hypertension self-management support: user-centered design, development, and usability testing. JAMIA Open 2023;6(3) View
- Berry M, Taylor L, Huang Z, Chwyl C, Kerrigan S, Forman E. Automated Messaging Delivered Alongside Behavioral Treatment for Weight Loss: Qualitative Study. JMIR Formative Research 2023;7:e50872 View
- García-Jaramillo M, Luque C, León-Vargas F. Machine Learning and Deep Learning Techniques Applied to Diabetes Research: A Bibliometric Analysis. Journal of Diabetes Science and Technology 2024;18(2):287 View
- Jahan E, Almansour R, Ijaz K, Baptista S, Giordan L, Ronto R, Zaman S, O'Hagan E, Laranjo L. Smartphone Applications to Prevent Type 2 Diabetes: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2024;66(6):1060 View
- Chew H, Achananuparp P, Dalakoti M, Chew N, Chin Y, Gao Y, So B, Shabbir A, Peng L, Ngiam K. Public acceptance of using artificial intelligence-assisted weight management apps in high-income southeast Asian adults with overweight and obesity: a cross-sectional study. Frontiers in Nutrition 2024;11 View
- Zhang J, Zhang J, Jin J, Jiang X, Yang L, Fan S, Zhang Q, Chi M. Artificial intelligence applied in cardiovascular disease: a bibliometric and visual analysis. Frontiers in Cardiovascular Medicine 2024;11 View
- El Sherbini A, Rosenson R, Al Rifai M, Virk H, Wang Z, Virani S, Glicksberg B, Lavie C, Krittanawong C. Artificial intelligence in preventive cardiology. Progress in Cardiovascular Diseases 2024 View
- MacNeill A, MacNeill L, Yi S, Goudreau A, Luke A, Doucet S. Depiction of conversational agents as health professionals: a scoping review. JBI Evidence Synthesis 2024;22(5):831 View
- Lee S, Kim S, Park S. Dietary Management of Obesity. The Korean Journal of Gastroenterology 2024;83(3):87 View
- Khokhar S, Holden J, Toomer C, Del Parigi A. Weight Loss with an AI-Powered Digital Platform for Lifestyle Intervention. Obesity Surgery 2024;34(5):1810 View
- Abusamaan M, Ballreich J, Dobs A, Kane B, Maruthur N, McGready J, Riekert K, Wanigatunga A, Alderfer M, Alver D, Lalani B, Ringham B, Vandi F, Zade D, Mathioudakis N. Effectiveness of artificial intelligence vs. human coaching in diabetes prevention: a study protocol for a randomized controlled trial. Trials 2024;25(1) View
- Bucher A, Blazek E, Symons C. How are Machine Learning and Artificial Intelligence Used in Digital Behavior Change Interventions? A Scoping Review. Mayo Clinic Proceedings: Digital Health 2024;2(3):375 View
- Diller S, Stenzel L, Passmore J. The coach bots are coming: exploring global coaches’ attitudes and responses to the threat of AI coaching. Human Resource Development International 2024;27(4):597 View
- Kashyap N, Sebastian A, Lynch C, Jansons P, Maddison R, Dingler T, Oldenburg B. Engagement With Conversational Agent–Enabled Interventions in Cardiometabolic Disease Management: Protocol for a Systematic Review. JMIR Research Protocols 2024;13:e52973 View
- Almohammedsaleh A, Alshawaf Y, Alqurayn A. Barriers to a Healthy Lifestyle Among Obese Patients Attending Primary Care Clinics in Al-Ahsa, Saudi Arabia. Cureus 2024 View
- Kim S, Swanson V, Collier G, Rabinowitz A, Zondervan D, Reinkensmeyer D. Using Large-Scale Sensor Data to Test Factors Predictive of Perseverance in Home Movement Rehabilitation: Early Exercise Frequency and Schedule Consistency. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024;32:3251 View
- Ramos-Jiménez A, Hernández Lepe M, Hernández-Torres R, Murguía-Romero M. Heuristic evaluation of body mass index with bioimpedance data in the Mexican population. Nutrición Hospitalaria 2024 View
- Kotov A, Idalski Carcone A, Towner E. Neural Conversational Agent for Weight Loss Counseling: Protocol for an Implementation and Feasibility Study. JMIR Research Protocols 2024;13:e60361 View
- MacNeill A, MacNeill L, Luke A, Doucet S. Health Professionals’ Views on the Use of Conversational Agents for Health Care: Qualitative Descriptive Study. Journal of Medical Internet Research 2024;26:e49387 View
Books/Policy Documents
- Cho P, Singh K, Dunn J. Artificial Intelligence in Medicine. View
- Belciug S, Gorunescu F. Intelligent Decision Support Systems—A Journey to Smarter Healthcare. View
- Weimann T, Schlieter H, Fischer M. The Next Wave of Sociotechnical Design. View
- Ruiz R, Velásquez J. Artificial Intelligence and Machine Learning for Healthcare. View
- Catellani P, Carfora V. The Social Psychology of Eating. View
- Mishra M, Dubey V, Hackett T, Kashyap M. Artificial Intelligence and Machine Learning in Healthcare. View
- Link M, Gerth S, Belikova-Gerth V, Jesse J. Entrepreneurship der Zukunft. View
- . AI Doctor. View
- Chaudhury T, Brodosi L, Marchesini G, Mitra S, Petroni M. Metabolic Syndrome. View
- Wojda T, Hoffman C, Kindler K, Desai A, Visweswaran S. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 2 [Working Title]. View