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

mHealth for Wellness, Behavior Change and Prevention (4272) Mobile Health (mhealth) (5192) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2385) Diabetes Prevention (168) Artificial Intelligence (4805) Obesity (139)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92981, first published .
Woman in athletic wear smiling while using her smartphone outdoors.

User Engagement and Feature Preferences in an AI-Powered mHealth Intervention for Diabetes Prevention: Secondary Analysis of a Randomized Controlled Trial

User Engagement and Feature Preferences in an AI-Powered mHealth Intervention for Diabetes Prevention: Secondary Analysis of a Randomized Controlled Trial

Authors of this article:

Benjamin Lalani1 Author Orcid Image ;   Gabriela Siew2 Author Orcid Image ;   Yllka Valdez2 Author Orcid Image ;   Aliyah Shehadeh2 Author Orcid Image ;   Daniel Zade2 Author Orcid Image ;   Kristin Riekert3 Author Orcid Image ;   Nestoras Mathioudakis2 Author Orcid Image ;   AI-DPP Study Group4
Article Authors Cited by Tweetations Metrics

Benjamin Lalani   1 , BS ;   Gabriela Siew   2 ;   Yllka Valdez   2 , BA ;   Aliyah Shehadeh   2 , BS ;   Daniel Zade   2 , BS ;   Kristin Riekert   3 , PhD ;   Nestoras Mathioudakis   2 , MHS, MD ;   AI-DPP Study Group   4

1 Harvard Medical School, Harvard University, Boston, MA, United States

2 Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States

3 Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins Medicine, Baltimore, MD, United States

4 See Acknowledgments, Baltimore, MD, United States

Corresponding Author:

  • Nestoras Mathioudakis, MHS, MD
  • Division of Endocrinology, Diabetes & Metabolism
  • Department of Medicine
  • Johns Hopkins University School of Medicine
  • 1830 E. Monument Street, Suite 333`
  • Baltimore, MD 21287
  • United States
  • Phone: 1 667 306 8085
  • Email: nmathio1@jhmi.edu