An artificial intelligence software platform is able to provide automated real-time screening for quick detection of diabetic retinopathy, without the help of an expert ophthalmologist. The AI platform, called EyeArt from vendor Eyenuk, was used to screen 893 patients with diabetes at 15 different medical locations as part of a new study. Results of the study, which compared EyeArt against experts using the gold standard for visual acuity testing, were presented on Tuesday at the Annual Meeting of the American Academy of Ophthalmology. What researchers found was that the AI platform accurately detected diabetic retinopathy 95.5 percent of the time, using images of patients' undilated pupils. "The system doesn't require the input of an expert ophthalmologist, and it can provide a reading in 60 seconds, making real-time screening possible for primary care practices and diabetes centers," according to the American Academy of Ophthalmology.