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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79283, first published .
Indian family with smartphone showing health app icons: walking, apples, and growth chart.

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

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
  2. Chatterjee S, Pramanik S, Kapoor N, Kalra S. Technology in Diabetes: A Year in Review. Diabetes Therapy 2026;17(6):823 View
  3. Butnariu A, Ispas G, Fehér L, Bejenaru A, Coca O, Ștefan G. Emerging Technologies in Rural Development: A Scoping Review of Current Knowledge. Agriculture 2026;16(10):1081 View
  4. Çalık Kuş A, Yıldırım O. Effects of an Artificial Intelligence–Supported Serious Game on Healthy Lifestyle Behaviours: A Quasi-Experimental Study. SDÜ SAĞLIK BİLİMLERİ DERGİSİ 2026;17(2):299 View
  5. Basaldua Galarza A, Gamarra-Moreno A, Quispe Bautista W, Rojas Guillén J. Can Digital Health Reduce Inequities? A Scoping Review of Implementation Evidence from Low-Resource Settings. International Journal of Environmental Research and Public Health 2026;23(9):1182 View