Published on 27.02.18 in Vol 20, No 2 (2018): February
Works citing "A Novel Approach for Fully Automated, Personalized Health Coaching for Adults with Prediabetes: Pilot Clinical Trial"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9723):
(note that this is only a small subset of citations)
-
Monteiro-Guerra F, Rivera-Romero O, Fernandez-Luque L, Caulfield B. Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review. IEEE Journal of Biomedical and Health Informatics 2020;24(6):1738
CrossRef -
Broome DT, Hilton CB, Mehta N. Policy Implications of Artificial Intelligence and Machine Learning in Diabetes Management. Current Diabetes Reports 2020;20(2)
CrossRef -
Sforzo GA, Kaye MP, Harenberg S, Costello K, Cobus-Kuo L, Rauff E, Edman JS, Frates E, Moore M. Compendium of Health and Wellness Coaching: 2019 Addendum. American Journal of Lifestyle Medicine 2020;14(2):155
CrossRef -
Van Rhoon L, Byrne M, Morrissey E, Murphy J, McSharry J. A systematic review of the behaviour change techniques and digital features in technology-driven type 2 diabetes prevention interventions. DIGITAL HEALTH 2020;6:205520762091442
CrossRef -
Sequi-Dominguez I, Alvarez-Bueno C, Martinez-Vizcaino V, Fernandez-Rodriguez R, del Saz Lara A, Cavero-Redondo I. Effectiveness of Mobile Health Interventions Promoting Physical Activity and Lifestyle Interventions to Reduce Cardiovascular Risk Among Individuals With Metabolic Syndrome: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(8):e17790
CrossRef -
Contreras I, Vehi J. Artificial Intelligence for Diabetes Management and Decision Support: Literature Review. Journal of Medical Internet Research 2018;20(5):e10775
CrossRef -
Gimbel RW, Rennert LM, Crawford P, Little JR, Truong K, Williams JE, Griffin SF, Shi L, Chen L, Zhang L, Moss JB, Marshall RC, Edwards KW, Crawford KJ, Hing M, Schmeltz A, Lumsden B, Ashby M, Haas E, Palazzo K. Enhancing Patient Activation and Self-Management Activities in Patients With Type 2 Diabetes Using the US Department of Defense Mobile Health Care Environment: Feasibility Study. Journal of Medical Internet Research 2020;22(5):e17968
CrossRef -
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
CrossRef -
Li J, Huang J, Zheng L, Li X. Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect. Frontiers in Public Health 2020;8
CrossRef -
Bradway M, Pfuhl G, Joakimsen R, Ribu L, Grøttland A, Årsand E, Borsci S. Analysing mHealth usage logs in RCTs: Explaining participants’ interactions with type 2 diabetes self-management tools. PLOS ONE 2018;13(8):e0203202
CrossRef -
Vehi J, Regincós Isern J, Parcerisas A, Calm R, Contreras I. Impact of Use Frequency of a Mobile Diabetes Management App on Blood Glucose Control: Evaluation Study. JMIR mHealth and uHealth 2019;7(3):e11933
CrossRef -
Gershkowitz BD, Hillert CJ, Crotty BH. Digital Coaching Strategies to Facilitate Behavioral Change in Type 2 Diabetes: A Systematic Review. The Journal of Clinical Endocrinology & Metabolism 2021;106(4):e1513
CrossRef -
Kaasalainen K, Kalmari J, Ruohonen T. Developing and testing a discrete event simulation model to evaluate budget impacts of diabetes prevention programs. Journal of Biomedical Informatics 2020;111:103577
CrossRef -
Sieczkowska SM, de Lima AP, Swinton PA, Dolan E, Roschel H, Gualano B. Health Coaching Strategies for Weight Loss: A Systematic Review and Meta-Analysis. Advances in Nutrition 2021;12(4):1449
CrossRef -
Pham Q, Gamble A, Hearn J, Cafazzo JA. The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations. Journal of Medical Internet Research 2021;23(2):e22320
CrossRef -
Nelson A, Moses O, Rea B, Morton K, Shih W, Alramadhan F, Singh PN. Pilot Feasibility Study of Incorporating Whole Person Care Health Coaching Into an Employee Wellness Program. Frontiers in Public Health 2021;8
CrossRef -
Chew HSJ, Ang WHD, Lau Y. The potential of artificial intelligence in enhancing adult weight loss: a scoping review. Public Health Nutrition 2021;24(8):1993
CrossRef -
Tong HL, Quiroz JC, Kocaballi AB, Fat SCM, Dao KP, Gehringer H, Chow CK, Laranjo L. Personalized mobile technologies for lifestyle behavior change: A systematic review, meta-analysis, and meta-regression. Preventive Medicine 2021;148:106532
CrossRef -
. The Potential of AI in Care Optimization: Insights from the User-Driven Co-Development of a Care Integration System. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2021;58:004695802110179
CrossRef -
Thomas Craig KJ, Morgan LC, Chen C, Michie S, Fusco N, Snowdon JL, 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
CrossRef -
Gautier T, Ziegler LB, Gerber MS, Campos-Náñez E, Patek SD. Artificial intelligence and diabetes technology: A review. Metabolism 2021;124:154872
CrossRef -
Li Z, Das S, Codella J, Hao T, Lin K, Maduri C, Chen C. An Adaptive, Data-Driven Personalized Advisor for Increasing Physical Activity. IEEE Journal of Biomedical and Health Informatics 2019;23(3):999
CrossRef -
Berry MP, Chwyl C, Metzler AL, Sun JH, Dart H, Forman EM. Associations between behaviour change technique clusters and weight loss outcomes of automated digital interventions: a systematic review and meta-regression. Health Psychology Review 2023;17(4):521
CrossRef -
Sohl SJ, Duncan PW, Thakur E, Puccinelli-Ortega N, Salsman JM, Russell G, Pasche BC, Wentworth S, Miller Jr DP, Wagner LI, Topaloglu U. Adaptation of a Personalized Electronic Care Planning Tool for Cancer Follow-up Care: Formative Study. JMIR Formative Research 2023;7:e41354
CrossRef -
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
CrossRef -
Park G, Lee H, Lee M. Artificial Intelligence-based Healthcare Interventions: A Systematic Review. Korean Journal of Adult Nursing 2021;33(5):427
CrossRef -
Vairavasundaram S, Varadarajan V, Srinivasan D, Balaganesh V, Damerla SB, Swaminathan B, Ravi L. Dynamic Physical Activity Recommendation Delivered through a Mobile Fitness App: A Deep Learning Approach. Axioms 2022;11(7):346
CrossRef -
. Künstliche Intelligenz (KI) in der Diabetologie – jetzt und in der Zukunft. Die Diabetologie 2023;19(1):35
CrossRef -
Arigo D, Lobo AF, Ainsworth MC, Baga K, Pasko K. Development and Initial Testing of a Personalized, Adaptive, and Socially Focused Web Tool to Support Physical Activity Among Women in Midlife: Multidisciplinary and User-Centered Design Approach. JMIR Formative Research 2022;6(7):e36280
CrossRef -
Graham SA, Pitter V, Hori JH, Stein N, Branch OH. Weight loss in a digital app-based diabetes prevention program powered by artificial intelligence. DIGITAL HEALTH 2022;8:205520762211306
CrossRef -
Chen D, Zhang H, Cui N, Song F, Tang L, Shao J, Wu J, Guo P, Liu N, Wang X, Ye Z. Development of a behavior change intervention to improve physical activity adherence in individuals with metabolic syndrome using the behavior change wheel. BMC Public Health 2022;22(1)
CrossRef -
Amagai S, Pila S, Kaat AJ, Nowinski CJ, Gershon RC. Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. Journal of Medical Internet Research 2022;24(4):e35120
CrossRef -
Sevilla-Gonzalez MDR, Bourguet-Ramirez B, Lazaro-Carrera LS, Martagon-Rosado AJ, Gomez-Velasco DV, Viveros-Ruiz TL. Evaluation of a Web Platform to Record Lifestyle Habits in Subjects at Risk of Developing Type 2 Diabetes in a Middle-Income Population: Prospective Interventional Study. JMIR Diabetes 2022;7(1):e25105
CrossRef -
MacPherson MM, Merry KJ, Locke SR, Jung ME. How Can We Keep People Engaged in the Behavior Change Process? An Exploratory Analysis of Two mHealth Applications. Journal of Technology in Behavioral Science 2022;7(3):337
CrossRef -
Teo JYC, Ramachandran HJ, Jiang Y, Seah CWA, Lim ST, Nguyen HD, Wang W. The characteristics and acceptance of Technology‐Enabled diabetes prevention programs (t‐DPP) amongst individuals with prediabetes: A scoping review. Journal of Clinical Nursing 2023;32(17-18):5562
CrossRef -
Johannessen E, Johansson J, Hartvigsen G, Horsch A, Årsand E, Henriksen A. Collecting health-related research data using consumer-based wireless smart scales. International Journal of Medical Informatics 2023;173:105043
CrossRef -
Alsayed AO, Ismail NA, Hasan L, Syed AH, Embarak F, Da'u A. A systematic literature review for understanding the effectiveness of advanced techniques in diabetes self-care management. Alexandria Engineering Journal 2023;79:274
CrossRef -
Salinari A, Machì M, Armas Diaz Y, Cianciosi D, Qi Z, Yang B, Ferreiro Cotorruelo MS, Villar SG, Dzul Lopez LA, Battino M, Giampieri F. The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment. Diseases 2023;11(3):97
CrossRef -
Guan Z, Li H, Liu R, Cai C, Liu Y, Li J, Wang X, Huang S, Wu L, Liu D, Yu S, Wang Z, Shu J, Hou X, Yang X, Jia W, Sheng B. Artificial intelligence in diabetes management: Advancements, opportunities, and challenges. Cell Reports Medicine 2023;4(10):101213
CrossRef -
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
CrossRef -
Rivera-Romero O, Gabarron E, Ropero J, Denecke K. Designing personalised mHealth solutions: An overview. Journal of Biomedical Informatics 2023;146:104500
CrossRef -
Jahan E, Almansour R, Ijaz K, Baptista S, Giordan LB, 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;
CrossRef
According to Crossref, the following books are citing this article (DOI 10.2196/jmir.9723):