Prospective Evaluation of Artificial Intelligence Imaging Support Software for Acute Ischemic Stroke in the Mayo Clinic Telestroke Network.

Journal: Mayo Clinic proceedings. Innovations, quality & outcomes
Published Date: Aug 1, 2025

Abstract

OBJECTIVE: To explore the real-world impact of artificial intelligence-driven decision support imaging software for patients with acute ischemic stroke in a mature telestroke network in the United States.

Authors

  • Brett H Smith
    Department of Neurology, Mayo Clinic, Jacksonville, FL.
  • Jackson G Wolfe
    Department of Neurology, Mayo Clinic, Jacksonville, FL.
  • Alvina Karam
    Department of Neurology, Mayo Clinic, Jacksonville, FL.
  • Bart M Demarkschalk
    Department of Neurology, Mayo Clinic, Pheonix, AZ.
  • Courtney M Hrdlicka
    Center for Digital Health, Mayo Clinic College of Medicine and Science, Pheonix, AZ.
  • Deena M Nasr
    Center for Digital Health, Mayo Clinic College of Medicine and Science, Pheonix, AZ.
  • Felix E Chukwudelunzu
    Department of Neurology, Mayo Clinic Health System, Eau Claire, WI.
  • Charisse A Nord
    Center for Digital Health, Mayo Clinic College of Medicine and Science, Pheonix, AZ.
  • Emily A Pahl
    Center for Digital Health, Mayo Clinic College of Medicine and Science, Pheonix, AZ.
  • Claire Fernandez
    Brainomix Limited, Oxford, United Kingdom.
  • Sam Wood
    Brainomix Limited, Oxford, United Kingdom.
  • Zoe Vj Woodhead
    Brainomix Limited, Oxford, United Kingdom.
  • Davide Carone
    Brainomix Limited, Oxford, United Kingdom.
  • George Harston
    Stroke Medicine, Oxford University Hospitals NHS Trust, Oxford, United Kingdom.
  • Stephen W English
    Department of Neurology, Mayo Clinic, Jacksonville, FL.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals