A Randomized Controlled Trial of a Deep Language Learning Model-Based Simulation Tool for Undergraduate Medical Students in Surgery.

Journal: Journal of surgical education
Published Date:

Abstract

INTRODUCTION: Effective communication is a critical skill for surgeons that commences often with history-taking. While simulation-based training is utilized to enhance these skills, recent advancements in artificial intelligence (AI), especially deep language learning models (DLM), offer new opportunities. This study evaluates the integration of DLM as a simulated patient (SP) into surgical history-taking training for senior medical students during clinical rotations.

Authors

  • Cathleen A McCarrick
    Section of Surgery and Surgical Specialities, School of Medicine, University College Dublin, Ireland.
  • Philip D McEntee
    UCD Centre for Precision Surgery, UCD, Dublin, Ireland.
  • Patrick A Boland
    UCD Centre for Precision Surgery, School of Medicine, University College Dublin, 47 Eccles Street, Dublin 7, Dublin, Ireland.
  • Suzanne Donnelly
    Section of Surgery and Surgical Specialities, School of Medicine, University College Dublin, Ireland.
  • Yvonne O'Meara
    Section of Surgery and Surgical Specialities, School of Medicine, University College Dublin, Ireland.
  • Helen Heneghan
    Section of Surgery and Surgical Specialities, School of Medicine, University College Dublin, Ireland.
  • Ronan A Cahill
    University College Dublin.

Keywords

No keywords available for this article.