IISc Develops AI Tool For Early Diabetic Retinopathy Detection With 95% Accuracy

Researchers at the Indian Institute of Science have unveiled a sophisticated AI-powered diagnostic tool capable of identifying early-stage diabetic retinopathy with 95% accuracy. By leveraging a massive dataset of 50,000 retinal scans, the system significantly outperforms traditional screening methods, offering a faster and more reliable alternative for clinicians. This technological leap represents a major milestone in medical imaging, providing a scalable solution for early intervention in chronic disease management.

The deployment strategy focuses on bridging the urban-rural healthcare divide, with plans to roll out the technology across Karnataka by the end of 2026. This initiative aims to reach an additional 2 million patients annually, addressing the critical shortage of ophthalmologists in remote regions. By automating the initial screening process, the tool allows medical professionals to prioritize high-risk cases, ensuring that limited healthcare resources are utilized with maximum efficiency and precision.

This project aligns with the broader national agenda to integrate artificial intelligence into public health infrastructure. By standardizing diagnostic procedures, the government hopes to reduce the long-term burden of diabetes-related complications on the national healthcare system. The success of this pilot program in Karnataka will likely serve as a blueprint for similar AI-driven health initiatives across other Indian states, fostering a more resilient and technologically advanced public health network by the start of the next fiscal year.