JMIR AI (Mar 2025)

Evaluation of ChatGPT Performance on Emergency Medicine Board Examination Questions: Observational Study

  • Mila Pastrak,
  • Sten Kajitani,
  • Anthony James Goodings,
  • Austin Drewek,
  • Andrew LaFree,
  • Adrian Murphy

DOI
https://doi.org/10.2196/67696
Journal volume & issue
Vol. 4
pp. e67696 – e67696

Abstract

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Abstract BackgroundThe ever-evolving field of medicine has highlighted the potential for ChatGPT as an assistive platform. However, its use in medical board examination preparation and completion remains unclear. ObjectiveThis study aimed to evaluate the performance of a custom-modified version of ChatGPT-4, tailored with emergency medicine board examination preparatory materials (Anki flashcard deck), compared to its default version and previous iteration (3.5). The goal was to assess the accuracy of ChatGPT-4 answering board-style questions and its suitability as a tool to aid students and trainees in standardized examination preparation. MethodsA comparative analysis was conducted using a random selection of 598 questions from the Rosh In-Training Examination Question Bank. The subjects of the study included three versions of ChatGPT: the Default, a Custom, and ChatGPT-3.5. The accuracy, response length, medical discipline subgroups, and underlying causes of error were analyzed. ResultsThe Custom version did not demonstrate a significant improvement in accuracy over the Default version (PPPPP ConclusionsThe findings suggest that while newer versions of ChatGPT exhibit improved performance in emergency medicine board examination preparation, specific enhancement with a comprehensive Anki flashcard deck on the topic does not significantly impact accuracy. The study highlights the potential of ChatGPT-4 as a tool for medical education, capable of providing accurate support across a wide range of topics in emergency medicine in its default form.