Interpretability of multimodal neural networks for prediction of visual acuity in patients with branch retinal vein occlusion (opens in new tab)

Branch retinal vein occlusion (BRVO) can cause persistent visual impairment, and predicting long-term best-corrected visual acuity (BCVA) after anti-vascular endothelial growth factor treatment remains clinically challenging. This retrospective proof-of-concept study developed multimodal neural networks to predict 12-month BCVA classes using retinal images and clinical metadata from treatment-naive BRVO eyes. The best internal model used OCT-horizontal scans, OCTA images, baseline BCVA, centr...