AI Improves Diabetic Eye Exam Completion Rates in Youth
Recent research indicates that autonomous artificial intelligence (AI) can significantly increase screening rates for diabetic eye exams in youth with diabetes, thereby closing care gaps among a racially and ethnically diverse population. The study, called the ACCESS randomized controlled trial, demonstrated that AI technology can help identify more individuals who need follow-up evaluation and prevent the progression of diabetic eye disease. The lead author of the study, Dr. Risa M. Wolf, a pediatric endocrinologist at Johns Hopkins Children’s Center, highlights the potential of AI to improve health equity and access to care for patients with diabetes.
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