In this systematic review and meta-analysis, researchers found that artificial intelligence models demonstrated high diagnostic accuracy for glaucoma (pooled area under the curve 0.93) and effectively predicted disease progression, enabling earlier identification of patients at risk for visual field deterioration. Beyond diagnosis, artificial intelligence showed emerging utility in risk stratification and surgical decision support, suggesting potential to enhance timing, candidate selection, and workflow integration in glaucoma management.

Source: Cureus