This review shows AI improves epilepsy detection and monitoring using EEG data, suggesting better clinical outcomes.
Key Points
AI-based electroencephalography analysis enhances precision and efficiency in epilepsy management, and supports clinical decisions and predictions.
Significant advancements in AI for EEG involve improved detection and therapeutic evaluation, showing the potential for transforming patient care.
Integrating deep learning and machine learning into EEG could optimize diagnosis, but challenges in model interpretability and data quality remain.
Interdisciplinary efforts are essential to address the limitations of AI in clinical settings, ensuring effective implementation in epilepsy treatment.