Exploring Capabilities of Large Language Models such as ChatGPT in Radiation Oncology.

Journal: Advances in radiation oncology
Published Date: Nov 4, 2023

Abstract

PURPOSE: Technological progress of machine learning and natural language processing has led to the development of large language models (LLMs), capable of producing well-formed text responses and providing natural language access to knowledge. Modern conversational LLMs such as ChatGPT have shown remarkable capabilities across a variety of fields, including medicine. These models may assess even highly specialized medical knowledge within specific disciplines, such as radiation therapy. We conducted an exploratory study to examine the capabilities of ChatGPT to answer questions in radiation therapy.

Authors

  • Fabio Dennstädt
    Department of Radiation Oncology, Kantonsspital St. Gallen, St. Gallen, Switzerland.
  • Janna Hastings
    Institute for Implementation Science in Health Care, Faculty of Medicine, University of Zurich, Zürich, Zurich, Switzerland.
  • Paul Martin Putora
    Department of Radiation Oncology, Kantonsspital St. Gallen, St. Gallen, Switzerland.
  • Erwin Vu
    Department of Radiation Oncology, Kantonsspital St. Gallen, St. Gallen, Switzerland.
  • Galina F Fischer
    Department of Radiation Oncology, Kantonsspital St. Gallen, St. Gallen, Switzerland.
  • Krisztian Süveg
    Department of Radiation Oncology, Kantonsspital St. Gallen, St. Gallen, Switzerland.
  • Markus Glatzer
    Department of Radiation Oncology, Kantonsspital St. Gallen, St. Gallen, Switzerland.
  • Elena Riggenbach
    Department of Radiation Oncology, Inselspital, Bern University Hospital and University of Bern, Switzerland.
  • Hông-Linh Hà
    Department of Radiation Oncology, Inselspital, Bern University Hospital and University of Bern, Switzerland.
  • Nikola Cihoric
    Department of Radiation Oncology, Inselspital, Bern University Hospital and University of Bern, Switzerland.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals