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◆ Acta Epileptologica2026-08-10· Epilepsy

Clinical application of artificial intelligence technology in epilepsy

Qi Ren, Yan Zhang, Xiaohong Deng, Meng Fu, Xia Li, Luyao Wang, Xianpeng Chen, Yu Yang, Jinfeng Zhang

原始摘要(英文原文)· Original abstract
Epilepsy is a prevalent neurological disorder, and its inherent complexity and significant interindividual variability pose substantial challenges for clinical diagnosis and treatment. Against this backdrop, the rapid development of artificial intelligence (AI) technology is driving a historic paradigm shift in the field of epilepsy diagnosis and management. This review analyses the application of AI in four core domains of epilepsy clinical practice: early diagnosis, accurate seizure prediction, individualized treatment, and long-term disease management. The primary objectives of this review are to delineate the current status of the clinical application of AI in epilepsy, clarify emerging future trends, and ultimately provide practical references and actionable insights for clinical practitioners.
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