Can surgeons trust AI? Perspectives on machine learning in surgery and the importance of eXplainable Artificial Intelligence (XAI).

Journal: Langenbeck's archives of surgery
PMID:

Abstract

PURPOSE: This brief report aims to summarize and discuss the methodologies of eXplainable Artificial Intelligence (XAI) and their potential applications in surgery.

Authors

  • Johanna M Brandenburg
    Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
  • Beat P Müller-Stich
  • Martin Wagner
    Department of Biology, Norwegian University of Science and Technology, 5 Høgskoleringen, 7491 Trondheim, Norway. Electronic address: martin.wagner@ntnu.no.
  • Mihaela van der Schaar
    University of California, Los Angeles, CA, USA.