Bao-Sheng Li

Artificial intelligence for white matter hyperintensity segmentation: performance, determinants, and clinical implications

AI demonstrates promising performance for automated WMH segmentation, with U-Net–based architectures showing superior accuracy, however, substantial heterogeneity highlights the need for standardized imaging protocols and robust external validation.