Deep learning of early brain imaging to predict post-arrest electroencephalography.

Journal: Resuscitation
Published Date: Jan 15, 2022

Abstract

INTRODUCTION: Guidelines recommend use of computerized tomography (CT) and electroencephalography (EEG) in post-arrest prognostication. Strong associations between CT and EEG might obviate the need to acquire both modalities. We quantified these associations via deep learning.

Authors

  • Jonathan Elmer
    Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Neurology Division, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address: elmerjp@upmc.edu.
  • Chang Liu
    Key Lab of Cell Differentiation and Apoptosis of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Matthew Pease
    Department of Neurosurgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Dooman Arefan
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States.
  • Patrick J Coppler
    Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Katharyn L Flickinger
    Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Joseph M Mettenburg
    Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Maria E Baldwin
    Department of Neurology, Pittsburgh VA Medical Center, Pittsburgh, PA, USA.
  • Niravkumar Barot
    Neurology Division, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Shandong Wu
    Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, United States.

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