Machine Learning to Predict Outcomes of Anti-VEGF Therapy in Neovascular Age-Related Macular Degeneration.

Visual acuity predictions were within ≤0.2 logarithm of the minimum angle of resolution units (≤2 ETDRS lines) for 92.5%, 73.5%, and 76.5% of eyes at the corresponding time points.

In the external cohort, model performance was reduced, with 45.0% to 53.8% of injection predictions and 26.3% to 41.1% of visual acuity predictions meeting accuracy thresholds.

Subretinal fluid at 6 months was the primary driver of injection burden predictions, whereas intraretinal fluid was most influential for visual acuity outcomes.