[Artificial intelligence for pathology-how, where, and why?].

Journal: Pathologie (Heidelberg, Germany)
Published Date: Mar 12, 2024

Abstract

Artificial intelligence promises many innovations and simplifications in pathology, but also raises just as many questions and uncertainties. In this article, we provide a brief overview of the current status, the goals already achieved by existing algorithms, and the remaining challenges.

Authors

  • Peter Schüffler
    Institute of Pathology, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
  • Katja Steiger
    Department of Pathology, School of Medicine, Technical University of Munich, Munich, Germany.
  • Carolin Mogler
    From the Department of Radiology (C.E.v.S., V.S.S., Y.L., F.G.G., S.C.F., F.T.G., M.R.M., K.W., A.S.G.), Department for Orthopedics and Orthopedic Sports Medicine (N.J.W., C.K., R.v.E., R.B.), and Institute of Pathology (C.M.), Klinikum Rechts der Isar, Technische Universität München, Ismaninger Str 22, 81675 Munich, Germany; and the Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany (M.J., P.M.J., M.F.R.).

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