AI-based EEG analysis: new technology and the path to clinical adoption.

Abstract

This review article introduces the challenges and potential benefits of the use of Artificial Intelligence (AI) and Machine Learning (ML) models in the analysis of the human electroencephalogram (EEG) in clinical practice. The integration of AI-based tools into clinical workflow has the potential to offer new insights, increase efficiency and essentially improve outcomes, but care must be taken during the development, validation, integration and interpretation of such tools to ensure their viabi