Deep learning-based prediction of one-year functional and structural outcomes in treatment-naïve DMO after anti-VEGF therapy.
PURPOSE To evaluate whether baseline structural optical coherence tomography (OCT) scans contain prognostic information that can be used by deep learning models to predict one-year functional and anatomical outcomes in treatment-naïve diabetic macular oedema (DMO). DESIGN Retrospective cohort study. PARTICIPANTS Ei...