Prediction of Visual Field Progression with Baseline and Longitudinal Structural Measurements using Deep Learning

Identifying glaucoma patients at high risk of progression based on widely available structural data is an unmet task in clinical practice. We test the hypothesis that baseline or serial structural measures can predict visual field (VF) progression with deep learning (DL).

Source: American Journal of Ophthalmology - February 12, 2024 Category: Opthalmology Authors: Vahid Mohammadzadeh, Sean Wu, Sajad Besharati, Tyler Davis, Arvind Vepa, Esteban Morales, Kiumars Edalati, Mahshad Rafiee, Arthur Martinyan, David Zhang, Fabien Scalzo, Joseph Caprioli, Kouros Nouri-Mahdavi Source Type: research