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American Academy of Ophthalmology Annual Meeting 2020



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A Deep-Learning Neural Network for Diagnosing Corneal Diseases

  Channels: Cornea | Posted 11/6/2020

Use of a multi-disease, deep-learning neural network algorithm can simplify the diagnosis of common corneal diseases, Mohamed Abou Shousha, MD, FRCS, PhD, reports. He and researchers from Bascom Palmer Eye Institute in Miami developed a device to autonomously diagnose dry eye disease, keratoconus, and Fuchs endothelial dystrophy. In an independent validation study, their AI algorithm successfully classified 100% of Fuchs endothelial dystrophy, 97% of keratoconus, 90% of dry eye disease, and 92% of healthy eyes.

Cornea • Keratoconus

18 / 29 Series: American Academy of Ophthalmology Annual Meeting 2020

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