Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence

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Can an artificial intelligence (AI) model be trained to interpret routine clinical electroencephalograms (EEGs) with accuracy equivalent to that of human experts?

Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence

Jesper Tveit, PhD; Harald Aurlien, MD, PhD; Sergey Plis, PhD; et al

Abstract

Importance Electroencephalograms (EEGs) are a fundamental evaluation in neurology but require special expertise unavailable in many regions of the world. Artificial intelligence (AI) has a potential for addressing these unmet needs. Previous AI models address only limited aspects of EEG interpretation such as distinguishing abnormal from normal or identifying epileptiform activity. A comprehensive, fully automated interpretation of routine EEG based on AI suitable for clinical practice is needed.

July 30, 2025
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