Camera-Agnostic Autonomous Diagnosis of Glaucomatous Optic Neuropathy using Macular Fundus Imaging and Machine Learning.

Zack Dvey-Aharon¹, Catherine Lalman^2,3, Tsontcho Ianchulev^1,4, Moshe Livne¹, Dan Margalit¹, Rachelle Aviv¹, Kristen Ann V Mendoza⁴, Joel S Schuman^2,3,5,6

¹AEYE Health Inc., New York, NY, USA.

²Wills Eye Hospital, Philadelphia, PA, USA.

³Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA.

⁴New York Eye and Ear of Mount Sinai, Icahn School of Medicine, New York, NY, USA.

⁵Drexel University School of Biomedical Engineering, Science and Health Studies, Philadelphia, PA, USA.

⁶Vickie and Jack Farber Vision Research Center, Wills Eye Hospital, Philadelphia, PA, USA.

PubMed PMC DOI PDF

Abstract

PURPOSE: Glaucoma, a leading cause of irreversible vision loss, often remains undiagnosed due to its asymptomatic progression and the limitations of existing screening methods. This study aimed to validate an artificial intelligence machine learning algorithm for the camera-agnostic detection of glaucomatous optic neuropathy using macula-centered fundus images. METHODS: Data were collected from E…

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