AI system may allow accurate retinopathy diagnosis by non-ophthalmologists

New research demonstrates that an automated, artificial intelligence (AI) screening system accurately detects diabetic retinopathy in more than 95% of cases. The system can be used by non-ophthalmologists and provides readings in 60 seconds. Accurate, automated retinal screening is an important development for the millions of diabetic patients who require annual examination for sight-threatening diabetic retinopathy. New research, presented at the 123rd Annual Meeting of the American Academy of Ophthalmology (12—15 October 2019, CA, USA) — demonstrates that an automated, artificial intelligence (AI) screening system can detect diabetic retinopathy with more than 95% accuracy. Approximately 25% of diabetic individuals in...