AI Detects Health Issues Via Retinal Scans

Ophthalmologists are now leveraging eye screenings as a critical tool for early detection of systemic health issues, including diabetes and cardiovascular disease. Recent advancements, particularly AI-driven analysis of retinal photographs, can non-invasively identify early signs of prediabetes, leukemia, and even certain cancer-related changes. This marks a significant expansion of ophthalmology beyond traditional treatments.

This innovation offers improved diagnostic capabilities, especially vital for India, which faces a high diabetes burden. Imaging technology can now be deployed even in rural areas lacking specialized eye care. Experts stressed that early detection through these advanced methods can lead to timely interventions and better patient outcomes.

Beyond disease detection, speakers at the IIRSI conference also sounded alarms about the detrimental effects of rising air pollution on eye health. They urged the public to use protective eyewear and lubricating drops, as pollution impacts eyes directly, not just the lungs. The conference itself focused on fostering future innovations in ophthalmology.