TOPLINE:

A deep-learning model trained on optical coherence tomography scans of the optic nerve head reliably distinguished among various types of optic nerve damage, such as glaucoma, non-arteritic anterior ischemic optic neuropathy (NAION), and optic neuritis, although classifying optic neuritis proved the most challenging for the algorithm.

METHODOLOGY:

Researchers conducted a cross-sectional study using data from multiple clinical trials and referral centers to determine whether a three-dimensional deep-learning model trained on optical coherence tomography scans of the optic nerve head can reliably distinguish optic atrophy in glaucoma, NAION, and optic neuritis as well as healthy eyes.

The analysis included 7014 scans from 1382 eyes of patients with glaucoma (n = 113), NAION (n =

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