The Armed Forces Medical Services (AFMS) has introduced India’s first AI-driven community screening initiative specifically designed to detect diabetic retinopathy  a sight-threatening complication of diabetes. The programme uses advanced artificial intelligence algorithms to analyse retinal images captured via portable cameras, allowing health workers to screen and assess retinal health efficiently at community clinics, primary health centres and diabetes care camps.

Diabetic retinopathy is a leading cause of vision loss, especially in individuals with long-standing or poorly controlled diabetes. Traditional screening methods require specialist ophthalmology visits, which can be logistically challenging and resource-intensive in many regions. AFMS’s AI-based approach addresses these gaps by augmenting diagnostic accuracy, reducing the need for specialist referrals in the early stages, and enabling health teams to prioritise follow-up care for high-risk patients.

Under the programme, retinal images are captured using fundus cameras and processed through an AI platform that highlights signs of retinopathy and classifies risk severity. Patients identified with potential abnormalities are guided toward appropriate treatment pathways  including consultation with ophthalmologists, laser therapy, or regular monitoring  depending on screening results.

AFMS leadership emphasised that the AI tool does not replace clinical judgement but supports frontline health personnel by accelerating detection and standardising interpretation. The screening programme is part of a broader public health vision to integrate technology into preventive care strategies and reduce the burden of diabetes-related complications nationwide.

By scaling AI-assisted screening at the community level, the AFMS aims to reach patients who may otherwise lack access to specialized eye care, ultimately working toward early intervention and better vision outcomes for people living with diabetes.