Deep learning models show efficacy in predicting glaucoma before its onset

Deep learning models showed efficacy in predicting glaucoma development 4 to 7 years before disease onset, according to a study presented at the virtual Association for Research in Vision and Ophthalmology meeting.
“Glaucoma affects over 60 million individuals, over 3 million in the U.S. alone. Since, typically, there are no symptoms or signs at the early stages, 50% of individuals are unaware of the disease,” Siamak Yousefi, PhD, said.
Dilated fundus photography is currently the gold standard for glaucoma screening, but manual assessment of the optic disc requires significant

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