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Automated interpretation of clinical electroencephalograms using AI

06.20.23 | JAMA Network

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About The Study: An artificial intelligence (AI) model (SCORE-AI) achieved human expert level performance in fully automated interpretation of routine electroencephalograms. Application of SCORE-AI may improve diagnosis and patient care in underserved areas and improve efficiency and consistency in specialized epilepsy centers.

Authors: Sandor Beniczky, M.D., Ph.D., of the Danish Epilepsy Centre in Dianalund, Denmark, is the corresponding author.

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamaneurol.2023.1645)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

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JAMA Neurology

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How to Cite This Article

APA:
JAMA Network. (2023, June 20). Automated interpretation of clinical electroencephalograms using AI. Brightsurf News. https://www.brightsurf.com/news/L3RE34Z8/automated-interpretation-of-clinical-electroencephalograms-using-ai.html
MLA:
"Automated interpretation of clinical electroencephalograms using AI." Brightsurf News, Jun. 20 2023, https://www.brightsurf.com/news/L3RE34Z8/automated-interpretation-of-clinical-electroencephalograms-using-ai.html.