Artificial Intelligence–Enabled Mobile Health Intervention (mDiabetes) to Reduce Diabetes Risk Behaviors in Rural India: Quasi-Experimental Pre-Post Study
Both AI-enabled and traditional mHealth interventions have similar effectiveness in promoting diabetes prevention behaviors in rural India. Simple, well-designed mHealth interventions delivered through an accessible platform like WhatsApp can achieve meaningful behavior change without the need for complex AI technology. The comparable effectiveness suggests the potential for scalable, cost-effective, equitable diabetes prevention strategies in resource-limited settings.
Authors
- Nalini Saligram (ORCID: https://orcid.org/0000-0001-7784-1236)
- Janani Surya (ORCID: https://orcid.org/0000-0001-6326-532X)
- Joshua Chadwick (ORCID: https://orcid.org/0000-0002-8636-0634)
- Varun Ramesan (ORCID: https://orcid.org/0009-0006-4951-8670)
- Chandru Sivamani (ORCID: https://orcid.org/0009-0007-7150-6526)
- Nidhi Jaswal (ORCID: https://orcid.org/0000-0002-9687-3513)
Institutions
- Swami Vivekananda Yoga Anusandhana Samsthana (IN)
- National Institute of Epidemiology (IN)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-12-05
- DOI
- https://doi.org/10.2196/79283
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00