Large Language Models for Chatbot Health Advice Studies: A Systematic Review.

Journal: JAMA network open
Published Date: Feb 3, 2025

Abstract

IMPORTANCE: There is much interest in the clinical integration of large language models (LLMs) in health care. Many studies have assessed the ability of LLMs to provide health advice, but the quality of their reporting is uncertain.

Authors

  • Bright Huo
    Division of General Surgery, Department of Surgery, McMaster University, Hamilton, ON, Canada.
  • Amy Boyle
    Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada.
  • Nana Marfo
    Ross University School of Medicine, Miramar, FL, USA.
  • Wimonchat Tangamornsuksan
    Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
  • Jeremy P Steen
    Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
  • Tyler McKechnie
    Division of General Surgery, McMaster University, Hamilton, Ontario, Canada.
  • Yung Lee
    Division of General Surgery, McMaster University, Hamilton, Ontario, Canada; Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
  • Julio Mayol
    Hospital Clinico San Carlos, Instituto de Investigación Sanitaria San Carlos, Universidad Complutense de Madrid, Madrid, Spain.
  • Stavros A Antoniou
    Center for Minimally Invasive Surgery, Hospital Neuwerk, Mönchengladbach, Germany.
  • Arun James Thirunavukarasu
    University of Cambridge School of Clinical Medicine Cambridge UK.
  • Stephanie Sanger
    Health Science Library, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
  • Karim Ramji
    Division of General Surgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada.
  • Gordon Guyatt
    Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.

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