An artificial intelligence (AI) system that can identify diabetic retinopathy (DR) without physician assistance, including the most serious form that puts patients at risk of blindness, has outperformed expectations in a clinical trial. The commercial system successfully detected the presence and severity of the disease in 97% of eyes analysed. Deployment of such AI systems in primary care facilities for use by non-specialists could significantly increase access to eye exams that include DR evaluation, aiding in the diagnosis and treatment of the disease.
An artificial intelligence system that simplifies diabetes retinal screening could help save the vision of millions of people around the world.
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