India Launches AI-Based Diabetic Retinopathy Screening
India has launched an artificial intelligence-based screening programme for diabetic retinopathy, marking a significant step toward early detection and prevention of diabetes-related vision loss. The initiative aims to identify eye complications at an early stage among people living with diabetes, particularly in community and primary healthcare settings.
Programme Focus and Objectives
Diabetic retinopathy is one of the leading causes of preventable blindness and often remains undiagnosed until it reaches an advanced stage. The newly launched programme focuses on large-scale screening to detect early signs of the condition, allowing timely referral and treatment. The government said the initiative aligns with its broader efforts to strengthen preventive healthcare and tackle non-communicable diseases.
Use of Artificial Intelligence in Screening
The programme uses AI-powered tools to analyse retinal images captured through fundus cameras. These images are assessed for signs of diabetic retinopathy, helping healthcare workers quickly classify patients based on risk levels. The use of AI is expected to reduce dependence on specialist availability and improve screening accuracy and speed, especially in resource-limited areas.
Implementation at Community Level
Screening under the programme will be carried out at selected locations across different regions of the country as part of a pilot phase. Trained medical staff will conduct eye examinations, and patients identified with signs of the disease will be referred to higher centres for further evaluation and treatment. The programme is designed to integrate with existing public health and diabetes care services.
Public Health Significance
Health officials said the AI-based approach will help bridge gaps in access to eye care and enable early intervention, which is crucial in preventing vision impairment. If successful, the programme could be expanded nationwide, improving outcomes for millions of people with diabetes.
