In recent years, machine learning (ML) models, including random forest, lasso, and gradient boosting models, have demonstrated great potential for application in ophthalmology and vision research,23–25 including our previous works for predicting treatment burden and vision response to anti-vascular endothelial growth factor (anti-VEGF) treatment for neovascular age-related macular degeneration.26 Here, VEGFA is linked to wet macular degeneration.