IIT Jodhpur researchers develop a low-cost AI algorithm to detect cataracts using near-infrared cameras

Cataracts are a leading cause of blindness in India, often because expensive diagnostic equipment is unavailable in rural areas. Researchers at IIT Jodhpur have developed a brilliant, low-cost solution to this problem. They created an Artificial Intelligence algorithm that can detect cataracts using images from simple near-infrared (NIR) cameras. Unlike traditional exams that require an ophthalmologist and costly slit-lamp microscopes, this AI tool works with affordable hardware that is easy to deploy in remote clinics.

The AI is trained to analyze eye images and identify the clouding of the lens that signals a cataract. It specifically targets "non-ideal" images, meaning it works well even when the photo isn't perfect, which is common in field settings. This innovation could revolutionize eye care in underserved regions. By empowering primary health centers with this automated diagnostic tool, patients can be screened locally and referred for surgery much earlier, preventing avoidable blindness for millions of people who currently lack access to specialist care.

Read the original article at: https://www.indianext.co.in/researchers-develop-ai-algorithm-to-detect-cataracts/


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