Danger, Danger, Gaston Labat! Does zero-shot artificial intelligence correlate with anticoagulation guidelines recommendations for neuraxial anesthesia?

Journal: Regional anesthesia and pain medicine
PMID:

Abstract

INTRODUCTION: Artificial intelligence and large language models (LLMs) have emerged as potentially disruptive technologies in healthcare. In this study GPT-3.5, an accessible LLM, was assessed for its accuracy and reliability in performing guideline-based evaluation of neuraxial bleeding risk in hypothetical patients on anticoagulation medication. The study also explored the impact of structured prompt guidance on the LLM's performance.

Authors

  • Nathan C Hurley
    Texas A&M University, USA.
  • Rajnish K Gupta
    Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Kristopher M Schroeder
    Department of Anesthesiology, University of Wisconsin School of Medicine & Public Health (K Schroeder), Madison, WI 53792, United States of America.
  • Aaron S Hess
    Department of Anesthesiology, University of Wisconsin-Madison, Madison, Wisconsin, USA ahess5@wisc.edu.