Published on in Vol 2, No 2 (2017): Jul-Dec

A Fully Automated Conversational Artificial Intelligence for Weight Loss: Longitudinal Observational Study Among Overweight and Obese Adults

A Fully Automated Conversational Artificial Intelligence for Weight Loss: Longitudinal Observational Study Among Overweight and Obese Adults

A Fully Automated Conversational Artificial Intelligence for Weight Loss: Longitudinal Observational Study Among Overweight and Obese Adults

Authors of this article:

Natalie Stein1 Author Orcid Image ;   Kevin Brooks2 Author Orcid Image

Journals

  1. 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
  2. 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
  3. 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
  4. 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
  5. Lin S, Mahoney M, Sinsky C. Ten Ways Artificial Intelligence Will Transform Primary Care. Journal of General Internal Medicine 2019;34(8):1626 View
  6. Kaufman N, Ferrin C, Sugrue D. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2019;21(S1):S-79 View
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. Liu S, Ko Q, Heng K, Ngiam K, Feng M. Healthcare Transformation in Singapore With Artificial Intelligence. Frontiers in Digital Health 2020;2 View
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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;8:237437352199862 View
  30. 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
  31. Nyrup R. From General Principles to Procedural Values: Responsible Digital Health Meets Public Health Ethics. Frontiers in Digital Health 2021;3 View
  32. 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
  33. 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
  34. 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
  35. 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
  36. Peng X, Tang L. Exploring the Characteristics of Physical Exercise in Students and the Path of Health Education. Frontiers in Psychology 2021;12 View
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. 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
  61. Brůha P, Mouček R, Salamon J, Vacek V. Workflow for health-related and brain data lifecycle. Frontiers in Digital Health 2022;4 View
  62. 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
  63. 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
  64. Hellmann A, Emmons A, Stewart Prime M, Paranjape K, Heaney D. Digital Health. Clinics in Laboratory Medicine 2023;43(1):71 View
  65. 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
  66. 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
  67. Choi J, Woo S, Ferrell A. Artificial intelligence assisted telehealth for nursing: A scoping review. Journal of Telemedicine and Telecare 2023:1357633X2311676 View
  68. 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
  69. 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
  70. 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
  71. 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
  72. 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
  73. 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
  74. 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 2023 View
  75. 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
  76. 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
  77. 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
  78. 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
  79. 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
  80. Lee S, Kim S, Park S. Dietary Management of Obesity. The Korean Journal of Gastroenterology 2024;83(3):87 View
  81. 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
  82. 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
  83. 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 View

Books/Policy Documents

  1. Cho P, Singh K, Dunn J. Artificial Intelligence in Medicine. View
  2. Belciug S, Gorunescu F. Intelligent Decision Support Systems—A Journey to Smarter Healthcare. View
  3. Weimann T, Schlieter H, Fischer M. The Next Wave of Sociotechnical Design. View
  4. Ruiz R, Velásquez J. Artificial Intelligence and Machine Learning for Healthcare. View
  5. Catellani P, Carfora V. The Social Psychology of Eating. View
  6. Mishra M, Dubey V, Hackett T, Kashyap M. Artificial Intelligence and Machine Learning in Healthcare. View
  7. Link M, Gerth S, Belikova-Gerth V, Jesse J. Entrepreneurship der Zukunft. View
  8. . AI Doctor. View
  9. Chaudhury T, Brodosi L, Marchesini G, Mitra S, Petroni M. Metabolic Syndrome. View
  10. 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