Harald Aurlien

Artificial intelligence‐assisted categorization of interictal abnormalities in adult long‐term electroencephalographic monitoring: Comparable diagnostic accuracy with marked efficiency gain

Abstract Objective Artificial intelligence (AI) classifies routine electroencephalograms (EEGs) with expert‐level accuracy, but interpretation of long‐term EEG monitoring (LTM) remains reliant on time‐intensive visual review. We evaluated whether autoSCORE, a clinically approved...