Assessment of ChatGPT success with specialty medical knowledge using anaesthesiology board examination practice questions.

Journal: British journal of anaesthesia
PMID:

Abstract

No abstract available for this article.

Authors

  • Denys Shay
    Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Center for Anesthesia Research Excellence, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
  • Bhawesh Kumar
    Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • David Bellamy
    CAUSALab, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Anil Palepu
    Department of Health Sciences and Technology, Harvard-MIT, Cambridge, MA, USA.
  • Mark Dershwitz
    Department of Anesthesiology & Perioperative Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
  • Jens M Walz
    Department of Anesthesiology & Perioperative Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
  • Maximilian S Schaefer
    Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Center for Anesthesia Research Excellence, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Anesthesiology, Dusseldorf University Hospital, Dusseldorf, Germany.
  • Andrew Beam
    Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States of America; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.