EMPAIA App Interface: An open and vendor-neutral interface for AI applications in pathology.

Journal: Computer methods and programs in biomedicine
Published Date: Dec 21, 2021

Abstract

BACKGROUND AND OBJECTIVE: Artificial intelligence (AI) apps hold great potential to make pathological diagnoses more accurate and time efficient. Widespread use of AI in pathology is hampered by interface incompatibilities between pathology software. We studied the existing interfaces in order to develop the EMPAIA App Interface, an open standard for the integration of pathology AI apps.

Authors

  • Daniel Romberg
    Fraunhofer Institute for Digital Medicine MEVIS, Max-von-Laue-Straße 2, 28359 Bremen, Germany. Electronic address: daniel.romberg@mevis.fraunhofer.de.
  • Klaus Strohmenger
    Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Pathology, Charitéplatz 1, 10117 Berlin, Germany.
  • Christoph Jansen
    Center for Biomedical Image and Information Processing, HTW Berlin-University of Applied Sciences, Berlin 12459, Germany.
  • Tobias Küster
    Technische Universität Berlin, DAI-Labor, Ernst-Reuter-Platz 7, 10587 Berlin, Germany.
  • Nick Weiss
    Fraunhofer MEVIS, Am Fallturm 1, 28359, Bremen, Germany. Electronic address: nick.weiss@mevis.fraunhofer.de.
  • Christian Geißler
    Technische Universität Berlin, DAI-Labor, Ernst-Reuter-Platz 7, 10587 Berlin, Germany.
  • Tomasz Sołtysiński
    QuIP GmbH, Reinhardtstraße 1, 10117 Berlin, Germany.
  • Michael Takla
    vitasystems GmbH, Gottlieb-Daimler-Straße 8, 68165 Mannheim, Germany.
  • Peter Hufnagl
    Department of Digital Pathology and IT, Institute of Pathology, Charité University Hospital, Berlin, Germany.
  • Norman Zerbe
    Department of Digital Pathology and IT, Institute of Pathology, Charité University Hospital, Berlin, Germany.
  • André Homeyer
    Fraunhofer MEVIS, Am Fallturm 1, 28359, Bremen, Germany. Electronic address: andre.homeyer@mevis.fraunhofer.de.

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