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

Mobile Health (mhealth) (3678) Web-based and Mobile Health Interventions (4239) Apps, Mobile, Wearables for Diabetes (378) Artificial Intelligence (2385) Artificial Intelligence in Diabetes Care and Prevention (65)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79283, first published .
Artificial Intelligence–Enabled Mobile Health Intervention (mDiabetes) to Reduce Diabetes Risk Behaviors in Rural India: Quasi-Experimental Pre-Post Study

Artificial Intelligence–Enabled Mobile Health Intervention (mDiabetes) to Reduce Diabetes Risk Behaviors in Rural India: Quasi-Experimental Pre-Post Study

Artificial Intelligence–Enabled Mobile Health Intervention (mDiabetes) to Reduce Diabetes Risk Behaviors in Rural India: Quasi-Experimental Pre-Post Study

Authors of this article:

Joshua Chadwick1 Author Orcid Image ;   Nidhi Jaswal2 Author Orcid Image ;   Janani Surya1 Author Orcid Image ;   Chandru Sivamani1 Author Orcid Image ;   Varun Ramesan2 Author Orcid Image ;   Nalini Saligram2 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Joshi A, Agrawal S, Grover A, Malhotra B, Gauniyal M, Rajkhowa S, Rishi B. Design and develop I-HEAL MetS platform to enhance self-management of metabolic syndrome among adults living in urban slums. BMC Digital Health 2026;4(1) View