Wearable Artificial Intelligence for Epilepsy: Scoping Review.

ABSTRACT:

Background

Epilepsy affects approximately 50 million people globally and imposes a substantial clinical and societal burden, requiring continuous and personalized monitoring for effective management. Wearable artificial intelligence (AI) technologies offer a promising solution by leveraging physiological signals and machine learning for seizure detection and prediction. While various approaches have been proposed, a comprehensive overview summarizing these advances and challenges is still needed.

Objective

This review aims to comprehensively explore and map the existing literature on AI-driven wearable technologies for epilepsy, identifying device characteristics, AI methodologies, biosignal measurements, validation approaches, and research gaps.

Methods

A scoping rev

SUBMITTER: Aziz S 

PROVIDER: S-EPMC12578435 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature