Clinical Implementation of Autonomous Artificial Intelligence Systems for Diabetic Eye Exams: Considerations for Success.

Autor:	Wolf, Risa M., Channa, Roomasa, Lehmann, Harold P., Abramoff, Michael D., Liu, T.Y. Alvin
Předmět:	DIABETES complications BLINDNESS MACULAR edema HEALTH services accessibility RETINA ARTIFICIAL intelligence MEDICAL screening PRIMARY health care PHOTOGRAPHY DIABETIC retinopathy VISION disorders EYE examination EARLY diagnosis
Zdroj:	Clinical Diabetes; Winter2024, Vol. 42 Issue 1, p142-149, 8p
Abstrakt:	The article focuses on the clinical implementation of autonomous artificial intelligence (AI) systems for diabetic eye exams, emphasizing their potential to increase access, facilitate early identification of diabetic eye disease (DED), and prevent irreversible vision loss. It mentions these AI systems, including the FDA-approved LumineticsCore, have demonstrated efficacy, and their adoption is supported by guidelines, ethical frameworks.
Databáze:	Complementary Index
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