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New AI system detects retinopathy with 95.5% accuracy

More than 90% of cases flagged by the EyeArt system had diabetic retinopathy or another eye disease

human and robot hand
A new artificial intelligence system is capable of detecting diabetic retinopathy 95.5% of the time.

The technology was described at the annual meeting of the American Academy of Ophthalmology (12–15 October, San Francisco).

The system, named EyeArt, was used to screen 893 patients with diabetes in 15 different medical locations. It can provide a reading within 60 seconds.

EyeArt displayed 95.5% sensitivity and 86% specificity, while more than 90% of eyes flagged as positive by the system had diabetic retinopathy or another eye disease.

Dr Srinivas Sadda, from the Doheny Eye Institute, highlighted that accurate, real-time diagnosis holds great promise for patients living with diabetes.

“In addition to increased accessibility, a prompt diagnosis made possible with AI means identifying those at risk of blindness and getting them in front of an ophthalmologist for treatment before it is too late,” he shared.

Image credit: Pixabay/TheDigitalArtist