Johns Hopkins Children’s Center Study Finds AI Diabetic Eye Exams Improve Screening Completion Rates Among Youth with Diabetes
A study conducted by Johns Hopkins Children’s Center has discovered that autonomous artificial intelligence (AI) diabetic eye exams significantly improve completion rates for screenings designed to prevent potentially blinding diabetes eye diseases (DED) among children and youth with diabetes.
The AI-driven technology used in the exams may help bridge “care gaps” among racial and ethnic minority youth with diabetes, who historically have higher rates of DED and less access to or adherence with regular screening for eye damage.
The study, published in Nature Communications, found that 100% of patients who underwent AI exams completed the eye assessment, indicating the potential of AI technology to increase screening rates and prevent the progression of diabetic eye disease among young diabetes patients.
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