Purpose To assess the accuracy of deep learning models to predict glaucoma development
from fundus photographs several years before disease onset. Design Algorithm
development for predicting glaucoma using data from a prospective longitudinal study.
Participants A total of 66 721 fundus photographs from 3272 eyes of 1636 subjects who
participated in the Ocular Hypertension Treatment Study (OHTS) were included. Main
Outcome Measures Accuracy and area under the curve (AUC). Methods Fundus …