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

Mobile Health (mhealth) (3463) Artificial Intelligence (2127) Web-based and Mobile Health Interventions (4017) Artificial Intelligence in Diabetes Care and Prevention (54) Apps, Mobile, Wearables for Diabetes (364)

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 Tweetations Metrics

Joshua Chadwick   1 * , MD, MPH ;   Nidhi Jaswal   2 * , PhD ;   Janani Surya   1 * , MSc ;   Chandru Sivamani   1 , BDS, MPH ;   Varun Ramesan   2 , BA, MA ;   Nalini Saligram   2 , PhD

1 Indian Council of Medical Research National Insitute of Epidemiology, Chennai, Tamil Nadu, India

2 Arogya World India Trust, Bangalore, Karnataka, India

*these authors contributed equally

Corresponding Author:

  • Joshua Chadwick, MD, MPH
  • Indian Council of Medical Research National Insitute of Epidemiology
  • R-127, Second Main Road, Tamil Nadu Housing Board, Ayapakkam
  • Chennai, Tamil Nadu 600077
  • India
  • Phone: 91 9176270955
  • Email: joshua@nie.gov.in