Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence.

Journal: JAMA neurology
Published Date:

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.

Authors

  • Jesper Tveit
    Holberg EEG, Bergen, Norway.
  • Harald Aurlien
    Holberg EEG, Bergen, Norway.
  • Sergey Plis
    The Mind Research Network, Albuquerque, NM 87106, USA.
  • Vince D Calhoun
    Mind Research Network & Lovelace Biomedical and Environmental Research Institute, Albuquerque, New Mexico; Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, New Mexico; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico; Department of Neurosciences, University of New Mexico, Albuquerque, New Mexico.
  • William O Tatum
    Department of Neurology, Mayo Clinic, Jacksonville, Florida.
  • Donald L Schomer
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
  • Vibeke Arntsen
    Department of Neurology and Clinical Neurophysiology, St Olavs Hospital, Trondheim University Hospital, Norway.
  • Fieke Cox
    Department of Clinical Neurophysiology, Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, the Netherlands.
  • Firas Fahoum
    Department of Neurology, Tel Aviv Sourasky Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • William B Gallentine
    Department of Neurology and Pediatrics, Stanford University Lucile Packard Children's Hospital, Palo Alto, California.
  • Elena Gardella
    Department of Clinical Neurophysiology, Danish Epilepsy Centre, Dianalund, Denmark.
  • Cecil D Hahn
    Division of Neurology, The Hospital for Sick Children, Toronto, Canada.
  • Aatif M Husain
  • Sudha Kessler
    Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
  • Mustafa Aykut Kural
    Department of Clinical Neurophysiology, Aarhus University Hospital and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Fábio A Nascimento
    Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts.
  • Hatice Tankisi
    Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark.
  • Line B Ulvin
    Department of Neurology, Oslo University Hospital, Norway.
  • Richard Wennberg
    Division of Neurology, Department of Medicine, Krembil Brain Institute, University Health Network, Toronto Western Hospital, University of Toronto, Toronto, Canada.
  • Sándor Beniczky
    Department of Clinical Neurophysiology, Aarhus University Hospital and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Clinical Neurophysiology, Danish Epilepsy Centre, Dianalund, Denmark. Electronic address: sbz@filadelfia.dk.