Five years ago, a convenience store manager was diagnosed with diabetes but, after neglecting his treatment, developed diabetic retinopathy (DR), a leading cause of blindness. Regular screenings are crucial, as up to 90% of DR cases are preventable. Advances in artificial intelligence (AI) are transforming eye care by enabling earlier detection of diseases like DR through enhanced imaging techniques. AI tools can analyze retinal scans, spotting microscopic changes before they manifest as symptoms, thus expediting treatment and improving outcomes. Tele-ophthalmology bridges gaps in rural areas, providing remote diagnostics and equitable access to care. New AI-assisted technologies reduce image capture times significantly, yielding high-quality results quickly and comfortably. These innovations not only allow for better management of diabetic retinopathy but also reveal early signs of systemic diseases, redefining patient care. Overall, AI is set to revolutionize ophthalmology, enhancing early diagnosis and ensuring clearer futures for millions at risk of vision loss.
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