Epilepsy and AI: From seizure prediction to personalized medicine

Majd A. AbuAlroba, Adham Itbaishab, Boulenouar Mesraouaa, Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine, Epilepsy & Behavior, Volume 166, 110327, May 2025

Highlights

• AI in Epilepsy Care: AI enhances seizure detection, personalized treatment, and diagnostic accuracy via ML/DL.
• Automated Analysis: CNNs/RNNs streamline EEG and imaging analysis, boosting diagnostic precision.
• Precision Medicine: Tailored ASM regimens and predictive modeling reduce trial-and-error in care.
• Advanced AI Integration: Explainable AI, data augmentation, and federated learning improve model transparency.
• Ethics & Future: Robust ethical, regulatory, and innovative frameworks drive safe AI adoption in neurology.

Abstract

Artificial intelligence (AI) is revolutionizing epilepsy care by advancing seizure detection, enhancing diagnostic precision, and enabling personalized treatment. Machine learning and deep learning technologies improve seizure monitoring, automate EEG analysis, and facilitate tailored therapeutic strategies, addressing the complexities of epilepsy management. However, challenges remain, including issues of model accuracy, interpretability, and applicability across diverse patient populations. Ethical considerations, such as safeguarding patient privacy, ensuring data security, and mitigating algorithmic bias, underscore the importance of responsible AI integration. Collaborative efforts among neurologists, data scientists, and regulatory authorities are critical to refining models, establishing ethical guidelines, and ensuring safe clinical adoption. This review examines AI’s transformative potential, its current limitations, and the multidisciplinary initiatives driving its effective implementation in epilepsy care.