Large Language Models as Decision-Making Tools in Oncology: Comparing Artificial Intelligence Suggestions and Expert Recommendations.

Journal: JCO clinical cancer informatics
Published Date: Mar 20, 2025

Abstract

PURPOSE: To determine the accuracy of large language models (LLMs) in generating appropriate treatment options for patients with early breast cancer on the basis of their medical records.

Authors

  • Loic Ah-Thiane
    Department of Radiotherapy, ICO Rene Gauducheau, Saint-Herblain, France.
  • Pierre-Etienne Heudel
    Department of Medical Oncology, Center Léon Bérard, Lyon, France.
  • Mario Campone
  • Marie Robert
    Department of Medical Oncology, ICO Rene Gauducheau, Saint-Herblain, France.
  • Victoire Brillaud-Meflah
    Department of Surgical Oncology, ICO Rene Gauducheau, Saint-Herblain, France.
  • Caroline Rousseau
  • Magali Le Blanc-Onfroy
    Department of Radiotherapy, ICO Rene Gauducheau, Saint-Herblain, France.
  • Florine Tomaszewski
    Department of Radiotherapy, ICO Rene Gauducheau, Saint-Herblain, France.
  • Stéphane Supiot
    Department of Radiotherapy, ICO Rene Gauducheau, Saint-Herblain, France.
  • Tanguy Perennec
    Department of Radiation Oncology, Institut de Cancérologie de l'Ouest Nantes, Saint-Herblain, France.
  • Augustin Mervoyer
    Department of Radiation Oncology, Institut de cancérologie de l'Ouest René-Gauducheau, Saint-Herblain, France.
  • Jean-Sébastien Frenel
    Department of Medical Oncology, ICO Rene Gauducheau, Saint-Herblain, France.

Keywords

External Resources

Popular Topics
Recent Journals