REVIEW ARTICLES: Artificial Intelligence

Patients Facing Large Language Models in Oncology: A Narrative Review

  • Raynaud, Charles MD1
  • Wu, David MD2
  • Levy, Jarod MSc3
  • Marengo, Matteo MSc3
  • Bibault, Jean-Emmanuel MD, PhD4,,

  • 1

    Department of Radiation Oncology, Hôpital Européen Georges Pompidou, Assistance Publique—Hôpitaux de Paris, Paris, France

  • 2

    Department of Radiation Oncology, Stanford Cancer Center, Palo Alto, CA

  • 3

    Ecole Normale Supérieure Paris Saclay, Paris, France

  • 4

    INSERM UMR1138, Centre de Recherche des Cordeliers, Paris, France
Jean-Emmanuel Bibault, MD, PhD; Twitter: @jebibault; e-mail: [email protected].
JCO Clinical Cancer Informatics 8, November 2024. | DOI: 10.1200/CCI-24-00149

The integration of large language models (LLMs) into oncology is transforming patients' journeys through education, diagnosis, treatment monitoring, and follow-up. This review examines the current landscape, potential benefits, and associated ethical and regulatory considerations of the application of LLMs for patients in the oncologic domain.

Copyright © 2024 by American Society of Clinical Oncology