Concordance of ChatGPT artificial intelligence decision-making in colorectal cancer multidisciplinary meetings: retrospective study.

Journal: BJS open
PMID: 40331891

Abstract

BACKGROUND: The objective of this study was to evaluate the concordance between therapeutic recommendations proposed by a multidisciplinary team meeting and those generated by a large language model (ChatGPT) for colorectal cancer. Although multidisciplinary teams represent the 'standard' for decision-making in cancer treatment, they require significant resources and may be susceptible to human bias. Artificial intelligence, particularly large language models such as ChatGPT, has the potential to enhance or optimize the decision-making processes. The present study examines the potential for integrating artificial intelligence into clinical practice by comparing multidisciplinary team decisions with those generated by ChatGPT.

Authors

  • Dimitrios Chatziisaak
    Department of Surgery, Kantonsspital St. Gallen, St. Gallen, Switzerland.
  • Pascal Burri
    Department of Surgery, Kantonsspital St. Gallen, St. Gallen, Switzerland.
  • Moritz Sparn
    Department of Surgery, Kantonsspital St. Gallen, St. Gallen, Switzerland.
  • Dieter Hahnloser
    Department of Surgery, Centre Hôpitalier Universitaire Vaudois, Lausanne, Switzerland.
  • Thomas Steffen
    Department of Surgery, Kantonsspital St. Gallen, St. Gallen, Switzerland.
  • Stephan Bischofberger
    Department of Surgery, Kantonsspital St. Gallen, St. Gallen, Switzerland.

Keywords

External Resources

Popular Topics
Recent Journals