The use of large language models to enhance cancer clinical trial educational materials.

Journal: JNCI cancer spectrum
PMID:

Abstract

BACKGROUND: Adequate patient awareness and understanding of cancer clinical trials is essential for trial recruitment, informed decision making, and protocol adherence. Although large language models (LLMs) have shown promise for patient education, their role in enhancing patient awareness of clinical trials remains unexplored. This study explored the performance and risks of LLMs in generating trial-specific educational content for potential participants.

Authors

  • Mingye Gao
    Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
  • Aman Varshney
    Technical University of Munich, Munich 80333, Germany.
  • Shan Chen
    National Academy of Economic Security, Beijing Jiaotong University, Beijing 100044, China.
  • Vikram Goddla
    Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA 02115, United States.
  • Jack Gallifant
    Centre for Human and Applied Physiological Sciences, School of Basic and Medical Biosciences, King's College London, London, UK. Electronic address: jack.gallifant@kcl.ac.uk.
  • Patrick Doyle
    Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA 02115, United States.
  • Claire Novack
    Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA 02115, United States.
  • Maeve Dillon-Martin
    Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA 02115, United States.
  • Teresia Perkins
    Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA 02115, United States.
  • Xinrong Correia
    Centaur Labs, Boston, MA 02116, United States.
  • Erik Duhaime
    Centaur Labs, Boston, USA.
  • Howard Isenstein
    Digidence, Bethesda, MD 20814, United States.
  • Elad Sharon
    Department of Developmental Biology and Cancer Research, The Institute for Medical Research Israel-Canada, The Hebrew University of Jerusalem, 9112001, Jerusalem, Israel.
  • Lisa Soleymani Lehmann
    Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
  • David Kozono
    Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA 02115, United States.
  • Brian Anthony
    Department of Mechanical Engineering, MIT, Cambridge, MA, 02139, USA.
  • Dmitriy Dligach
    Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, IL.
  • Danielle S Bitterman
    Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States.