External validation of an RSNA 2023 Abdominal Trauma AI Challenge high performing machine learning model in the detection and grading of splenic injuries on CT.

Journal: Abdominal radiology (New York)
Published Date:

Abstract

PURPOSE: This study aims to validate the performance of an award-winning machine learning (ML) model from the Radiological Society of North America (RSNA) 2023 Abdominal Trauma AI Challenge in detecting splenic injuries on CT scans using a large, geographically and temporally distinct external dataset.

Authors

  • Anish Kirpalani
    Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
  • Théo Viel
    NVIDIA, Paris, France.
  • Zixuan Hu
    The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada.
  • Hui Ming Lin
    Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
  • Sebastiaan Hermans
    Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
  • David Gomez
    Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.
  • Robert Moreland
    Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
  • Shobhit Mathur
    Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
  • Aaditeya Jhaveri
    Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
  • Matthew Wu
    Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
  • Paraskevi A Vlachou
    Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
  • Monica Tafur
    Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
  • Ervin Sejdić
    Department of Electrical and Computer Engineering, University of Pittsburgh, Benedum Hall, Pittsburgh, PA 15260, USA. Electronic address: esejdic@ieee.org.
  • Errol Colak
    Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.

Keywords

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