Artificial Intelligence for Diagnosing Diabetic Retinopathy in Primary Care
Effects of Artificial Intelligence-based Diabetic Retinopathy Screening on Timely Access to Treatment in Individuals With Diabetes
About This Trial
This is a clinical trial to evaluate the effects of universal screening for diabetic retinopathy (DR) and diabetic macular edema (DME) using artificial intelligence (AI) in the interpretation of fundus photographs obtained by trained nursing assistant using a portable fundus camera in a primary care setting, compared with images obtained by the same method, but interpreted by ophthalmologists.
Who May Be Eligible (Plain English)
Original Eligibility Criteria
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Treatments Being Tested
Mobile retinography interpreted by artificial intelligence
All participants will undergo mobile retinal photography in primary care by a trained nursing assistant. If randomized to RDIA group, their photos will be analyzed by artificial intelligence.
Mobile retinography interpreted by ophthalmologists
All participants will undergo mobile retinal photography in primary care by a trained nursing assistant. If randomized to RDOF group, their photos will be interpreted remotely by ophthalmologists.