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This paper is in the following e-collection/theme issue:

Digital Health Reviews (3837) Web-based and Mobile Health Interventions (5949) Mobile Health (mhealth) (5301) Decision Support for Health Professionals (2343) Prevention and Health Promotion (2309) Diabetes Prevention (170)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/104940, first published .
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AI-Driven Lifestyle Interventions for Reducing Diabetes Risk: Systematic Review

AI-Driven Lifestyle Interventions for Reducing Diabetes Risk: Systematic Review

Authors of this article:

Obinna I Ekwunife1 Author Orcid Image ;   Tyler Nauta1 Author Orcid Image ;   Raphael A Fraser1 Author Orcid Image ;   Jennifer A Campbell1 Author Orcid Image ;   Gloria Aidoo-Frimpong2 Author Orcid Image ;   Rebekah J Walker1 Author Orcid Image ;   Leonard E Egede1 Author Orcid Image
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Obinna I Ekwunife   1 , PhD ;   Tyler Nauta   1 ;   Raphael A Fraser   1 , PhD ;   Jennifer A Campbell   1 , MPH, PhD ;   Gloria Aidoo-Frimpong   2 , PhD ;   Rebekah J Walker   1 , PhD ;   Leonard E Egede   1 , MS, MD

1 Division of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States

2 Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, United States

Corresponding Author:

  • Obinna I Ekwunife, PhD
  • Division of Population Health, Department of Medicine
  • Jacobs School of Medicine and Biomedical Sciences
  • University at Buffalo, State University of New York
  • Suite 320, UB Downtown Gateway, 77 Goodell Street
  • Buffalo, NY 14203-1243
  • United States
  • Phone: 1 7168295729
  • Email: ekwunife@buffalo.edu