PurposeTo assess the accuracy of deep learning models to predict glaucoma development from fundus photographs several years prior to disease onset.\n\nDesignA deep learning model for prediction of glaucomatous optic neuropathy or visual field abnormality from color fundus photographs.\n\nParticipantsWe retrospectively included 66,721 fundus photographs from 3,272 eyes of 1,636 subjects to... Show more