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Misdiagnosing epileptic seizures (ES) and nonepileptic events (NEE) is a persistent challenge in neurology, often leading to inappropriate treatments and increased healthcare costs. A groundbreaking study supported by the China Association Against Epilepsy has introduced a video-based deep learning system designed to automate this critical distinction. The Clinical Challenge

The study was conducted at the Beijing Children’s Hospital, Capital Medical University, with strict adherence to ethical protocols and data access restrictions to protect patient privacy. video-f415bdc6fe70bbf49ddc6fcbdbcbf454-V.mp4

Traditional diagnosis relies heavily on expert review of Video-EEG (VEEG) recordings, which is time-consuming and subjective. Capital Medical University