Rajasthan Expands Nationwide AI-Based Diabetic Eye Screening

In a significant advancement for artificial intelligence technology's application to public health, Rajasthan's MadhuNetr DR-AI programme, which uses AI to assist screening for diabetic retinopathy, has received approval by the government for expansion to additional facilities.

After successfully completing pilot testing of the programme in five districts, it is set to expand to an additional eight government hospitals, exemplifying movement towards AI-enabled public health solutions in India.

The programme implements screening of retinal images using AI algorithms across a multitude of devices, offering real-time detection for diabetic retinopathy as a cause of blindness. In the pilot study, the system screened 65 patients and identified 15 for appropriate additional treatment, exemplifying the opportunity for pre-emptive action to preserve vision. It has also facilitated a same-day diagnosis and referral, removing any delays in accessing specialty care.

Also Read: How to Bridge the Healthcare Gap in Emerging Markets with MedTech

Given that just under 20% of Rajasthan's adult population is diabetic or hypertensive, and with greater than a third of residents above 30 years of age, early eye care services offered at limited cost are necessary. The MadhuNetr DR-AI Programme represents a proactive response that can be incorporated into public hospitals without internet requirements that are directly suited for difficult-to-access rural areas.

The approval signals a growing trend of AI integration in preventive care, especially in states grappling with non-communicable diseases. As India looks to strengthen its digital health infrastructure, Rajasthan’s pioneering model could serve as a blueprint for wider national adoption, delivering scalable and cost-effective diagnostic support where it’s needed most.