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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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Ren et al. (2026) studied this question.
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