Automated quantitative pupillometry as a predictor for transtentorial brain herniation in patients with malignant acute ischemic stroke

• Catherine Park ,

  Contributed equally to this work with: Catherine Park, So Young Park

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

  Affiliations Department of Convergence of Healthcare and Medicine, Ajou University Graduate School of Medicine, Suwon, South Korea, Division of Digital Healthcare, Yonsei University, Wonju, South Korea

  https://orcid.org/0000-0002-6137-5098

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• So Young Park ,

  Contributed equally to this work with: Catherine Park, So Young Park

  Roles Data curation, Methodology, Resources, Writing – review & editing

  Affiliation Department of Neurology, Ajou University School of Medicine, Suwon, South Korea

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• Min Kim,

  Roles Methodology, Writing – review & editing

  Affiliation Department of Neurology, Ajou University School of Medicine, Suwon, South Korea

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• Bumhee Park,

  Roles Validation

  Affiliation Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea

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• Ji Man Hong

  Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – review & editing

  * E-mail: dacda@ganmail.net

  Affiliations Department of Convergence of Healthcare and Medicine, Ajou University Graduate School of Medicine, Suwon, South Korea, Department of Neurology, Ajou University School of Medicine, Suwon, South Korea

  https://orcid.org/0000-0001-6803-1207

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