Artificial Intelligence in Pathology.

Journal: Deutsches Arzteblatt international
Published Date: Mar 26, 2021

Abstract

BACKGROUND: Increasing digitalization enables the use of artificial intelligence (AI) and machine learning in pathology. However, these technologies have only just begun to be implemented, and no randomized prospective trials have yet shown a benefit of AI-based diagnosis. In this review, we present current concepts, illustrate them with examples from representative publications, and discuss the possibilities and limitations of their use.

Authors

  • Sebastian Försch
    Institute of Pathology, University Medical Center Mainz, Mainz; Institute of Pathology, Charité Universitätsmedizin Berlin, Berlin.
  • Frederick Klauschen
    Pathologisches Institut, Ludwig-Maximilians-Universität München, Thalkirchner Str. 36, 80337, München, Deutschland. f.klauschen@lmu.de.
  • Peter Hufnagl
    Department of Digital Pathology and IT, Institute of Pathology, Charité University Hospital, Berlin, Germany.
  • Wilfried Roth
    Institute of Pathology, University Medical Center Mainz, Mainz, Germany.

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