Policy-Driven, Multimodal Deep Learning for Predicting Visual Fields from the Optic Disc and Optical Coherence Tomography Imaging

Purpose To develop and validate a deep learning (DL) system for predicting each point on visual fields (VF) from disc and optical coherence tomography (OCT) imaging and derive a structure-function mapping. Design Retrospective, cross-sectional database study Participants 6437 patients undergoing routine care for glaucoma in three clinical sites in the UK. Methods OCT and infrared reflectance (IR) optic disc imaging was paired with the closest VF within 7 days. Efficient-Net ...
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