Autonomous artificial intelligence systems improved testing adherence for diabetic eye diseases (DED) across primary care clinics, according to new research.1
The results, presented at the 83rd Scientific Sessions of the American Diabetes Association (ADA 2023), suggested autonomous artificial intelligence decreased disparities in Black patients, who historically experience disadvantages in medical care.
“We looked at the real-world deployment at Johns Hopkins Medicine and found that autonomous artificial intelligence diabetic eye disease testing at primary care sites was associated with improved adherence, even after controlling for potential confounding factors,” presenting investigator T.Y. Alvin Liu, MD, assistant professor of ophthalmology, Wilmer Eye Institute, the Johns Hopkins School of Medicine, said at ADA 2023. “We also found that the deployment did improve access and equity, especially for patients of populations that were traditionally disadvantaged.”