Artificial Intelligence as a Discriminator of Competence in Urological Training: Are We There?

Journal: The Journal of urology
Published Date: Dec 9, 2024

Abstract

PURPOSE: Assessments in medical education play a central role in evaluating trainees' progress and eventual competence. Generative artificial intelligence is finding an increasing role in clinical care and medical education. The objective of this study was to evaluate the ability of the large language model ChatGPT to generate examination questions that are discriminating in the evaluation of graduating urology residents.

Authors

  • Naji J Touma
    Department of Urology, Queen's University, Kingston, Ontario, Canada.
  • Ruchit Patel
    Department of Urology, Queen's University, Kingston, Ontario, Canada.
  • Thomas Skinner
    Department of Urology, Queen's University, Kingston, Ontario, Canada.
  • Michael Leveridge
    Department of Urology, Queen's University, Kingston, Ontario, Canada.

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