FDA-approved deep learning software application versus radiologists with different levels of expertise: detection of intracranial hemorrhage in a retrospective single-center study.

Journal: Neuroradiology
Published Date: Jan 6, 2022

Abstract

PURPOSE: To assess an FDA-approved and CE-certified deep learning (DL) software application compared to the performance of human radiologists in detecting intracranial hemorrhages (ICH).

Authors

  • Thomas Kau
    Department of Radiology, Landeskrankenhaus Villach, Nikolaigasse 43, 9500, Villach, Austria. thomas.kau@kabeg.at.
  • Mindaugas Ziurlys
    Department of Radiology, Landeskrankenhaus Villach, Nikolaigasse 43, 9500, Villach, Austria.
  • Manuel Taschwer
    Department of Radiology, Landeskrankenhaus Villach, Nikolaigasse 43, 9500, Villach, Austria.
  • Anita Kloss-Brandstätter
    Carinthia University of Applied Sciences, Europastrasse 4, 9500, Villach, Austria.
  • Günther Grabner
    Department of Medical Engineering, Carinthia University of Applied Sciences, Primoschgasse 8, 9020, Klagenfurt, Austria.
  • Hannes Deutschmann
    Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9, 8036, Graz, Austria.

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