[Artificial intelligence in advanced surgical training : An overview].

Journal: Unfallchirurgie (Heidelberg, Germany)
Published Date:

Abstract

The integration of artificial intelligence (AI) into medical education and advanced training is gaining in importance. Especially in advanced surgical training AI offers potential to support both theoretical and practical learning processes. Applications include interactive chatbots, digital assistance systems and automated assessment of surgical skills using computer vision and machine learning. This article provides an overview of current developments, opportunities and challenges of AI in advanced surgical training.

Authors

  • Adrian Deichsel
    Department of Trauma, Hand and Reconstructive Surgery, University Hospital Muenster, Muenster, Germany.
  • Felix C Öttl
    Balgrist Universitätsklinik, Zürich, Schweiz.
  • Johannes Pawelczyk
    Faculty of Medicine, Ruprecht-Karls-University, Heidelberg, Germany.
  • Lea Usov
    Abteilung für Unfallchirurgie und Orthopädie, Universitätsklinikum Frankfurt am Main, Frankfurt am Main, Deutschland.
  • Henryk Haffer
    Centrum für Muskuloskeletale Chirurgie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland.