The future of artificial intelligence in digital pathology - results of a survey across stakeholder groups.

Journal: Histopathology
Published Date:

Abstract

AIMS: Artificial intelligence (AI) provides a powerful tool to extract information from digitised histopathology whole slide images. During the last 5 years, academic and commercial actors have developed new technical solutions for a diverse set of tasks, including tissue segmentation, cell detection, mutation prediction, prognostication and prediction of treatment response. In the light of limited overall resources, it is presently unclear for researchers, practitioners and policymakers which of these topics are stable enough for clinical use in the near future and which topics are still experimental, but worth investing time and effort into.

Authors

  • Céline N Heinz
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Amelie Echle
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Sebastian Foersch
    Institute of Pathology, University Medical Center Mainz, Mainz, Germany. Electronic address: sebastian.foersch@unimedizin-mainz.de.
  • Andrey Bychkov
    Department of Pathology, Nagasaki University Graduate School of Biomedical Sciences, Sakamoto, Nagasaki, Japan; Department of Pathology, Kameda Medical Center, Kamogawa, Chiba, Japan.
  • Jakob Nikolas Kather
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.