A novel management challenge in age-related macular degeneration: Artificial intelligence and expert prediction of geographic atrophy

The progression of geographic atrophy (GA) secondary to age-related macular degeneration (AMD) is highly variable among individuals. Prediction of the progression is critical to identify patients who will benefit most from the first treatments currently approved. The aim of this study was the investigation of the value and difference in predictive power between ophthalmologists and artificial intelligence (AI) to reliably assess individual speed of GA progression.