Improved Stroke Care in a Primary Stroke Centre Using AI-Decision Support.

Journal: Cerebrovascular diseases extra
Published Date: Jan 1, 2022

Abstract

BACKGROUND: Patient selection for reperfusion therapies requires significant expertise in neuroimaging. Increasingly, machine learning-based analysis is used for faster and standardized patient selection. However, there is little information on how such software influences real-world patient management.

Authors

  • Bence Gunda
    Department of Neurology, Semmelweis University, Budapest, Hungary.
  • Ain Neuhaus
    Stroke Medicine, Oxford University Hospitals NHS Trust, Oxford, United Kingdom.
  • Ildikó Sipos
    Department of Neurology, Semmelweis University, Budapest, Hungary.
  • Rita Stang
    Department of Neurology, Semmelweis University, Budapest, Hungary.
  • Péter Pál Böjti
    Department of Neurology, Semmelweis University, Budapest, Hungary.
  • Tímea Takács
    Department of Neurology, Semmelweis University, Budapest, Hungary.
  • Dániel Bereczki
    Department of Neurology, Semmelweis University, Budapest, Hungary.
  • Balázs Kis
    National Institute of Mental Health, Neurology and Neurosurgery, Budapest, Hungary.
  • István Szikora
    Department of Neurointerventions, National Institute of Neurosciences, Budapest, Hungary.
  • George Harston
    Stroke Medicine, Oxford University Hospitals NHS Trust, Oxford, United Kingdom.

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