Back

Predicting visual function before glaucoma onset from baseline optical coherence tomography scans using deep learning

2026-03-02 ophthalmology Title + abstract only
View on medRxiv
Show abstract

BackgroundThe visual field (VF) test results of many eyes with glaucoma progress despite treatment. This suggests that some eyes are either untreated or that the management of intraocular pressure (IOP) does not influence the outcome. In this work, we explore whether future VF parameters can be predicted from a baseline optical coherence retinal nerve fibre layer (OCT-RNFL) scan using a deep learning model. MethodsThe model was developed using 1792 eyes from 1610 patients, and externally valida...

Predicted journal destinations