Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence

2023197 citationsJournal Articlehybrid Open Access

Authors

Jesper Tveit

Harald Aurlien · Haukeland University Hospital

Sergey Plis · Center for Translational Research in Neuroimaging and Data Science

Vince D. Calhoun · Center for Translational Research in Neuroimaging and Data Science

William O. Tatum · Jacksonville College

Donald L. Schomer · Beth Israel Deaconess Medical Center

Vibeke Arntsen · St Olav's University Hospital

Abstract

In this study, SCORE-AI achieved human expert level performance in fully automated interpretation of routine EEGs. Application of SCORE-AI may improve diagnosis and patient care in underserved areas and improve efficiency and consistency in specialized epilepsy centers.

Topics & Keywords

EEG and Brain-Computer Interfaces Machine Learning in Healthcare Functional Brain Connectivity Studies

UN Sustainable Development Goals

Peace, Justice and strong institutions

Publication Details

Published in: JAMA Neurology

Volume 80, Issue 8, pp. 805-805

DOI: 10.1001/jamaneurol.2023.1645

Field-Weighted Citation Impact: 34.56