人工智能辅助脑电图分析技术在意识障碍诊疗中的应用进展OA

Artificial intelligence(AI)-assisted electroencephalography(EEG)analysis is profoundly transforming the diagnosis and treatment paradigm of disorders of consciousness(DOC).In recent years,through innovative approaches such as machine learning,deep learning,multimodal fusion,and brain-computer interfaces,this technique has achieved remarkable progress in several key areas including the diagnosis and classification of DOC,detection of covert conscious-ness,prognosis prediction,and therapeutic intervention.This article systematically reviews the latest research advances in AI-assisted EEG analysis for the diagnosis and treatment of DOC,analyzes the core challenges,and proposes future de-velopment directions,in order to provide a systematic reference for the translational application of this technique in the clinical diagnosis and treatment of DOC.