Using AI chatbots as clinical decision support for regional anesthesia: is the new era of "e-Consults" ready for primetime?

Journal: Regional anesthesia and pain medicine
Published Date:

Abstract

BACKGROUND AND OBJECTIVE: There is growing interest to further incorporate artificial intelligence into clinical practice. Perioperative decision-making for patients considered for regional anesthesia is complex, and the use of artificial intelligence as a clinical decision support tool in this context is underinvestigated. We aim to evaluate large language models (LLMs) when prompted with clinical scenarios and management questions in the subspecialty of regional anesthesiology.

Authors

  • David Corpman
    Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington, USA dcorpman@uw.edu.
  • David B Auyong
    Department of Anesthesiology, Virginia Mason Medical Center, Seattle, Washington, USA.
  • Drew Walters
    Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington, USA.
  • Andrew Gray
    Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.

Keywords

No keywords available for this article.