Deep Imbalanced Regression Model for Predicting Refractive Error from Retinal Photos

CONCLUSIONS: Deep imbalanced regressed-integrated DL models showed potential in addressing data imbalances and improving the prediction of refractive error. These findings highlight the potential utility of combining DL models with retinal imaging for opportunistic screening of refractive errors, particularly in settings where retinal cameras are already in …