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Meeting Coverage:

American Academy of Ophthalmology

AAO: 2020

A Deep-Learning Neural Network for Diagnosing Corneal Diseases

Mohamed Abou Shousha, MD, FRCS, PhD

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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.

Posted: 11/06/2020

Keywords:

Cornea

•

Keratoconus

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Back to All Videos

A Deep-Learning Neural Network for Diagnosing Corneal Diseases

Mohamed Abou Shousha, MD, FRCS, PhD

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.

Posted: 11/06/2020

Keywords:

Cornea

•

Keratoconus

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Comments

M Reffat,Msc, EBO

4 years ago

congratulations dear prof

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