GPT-4 generated answer rationales to multiple choice assessment questions in undergraduate medical education.

Journal: BMC medical education
PMID:

Abstract

BACKGROUND: Pre-clerkship medical students benefit from practice questions that provide rationales for answer choices. Creating these rationales is a time-intensive endeavor. Therefore, not all practice multiple choice questions (MCQ) have corresponding explanations to aid learning. The authors examined artificial intelligence's (AI) potential to create high-quality answer rationales for clinical vignette-style MCQs.

Authors

  • Peter Y Ch'en
    Albert Einstein College of Medicine, Bronx, NY, USA.
  • Wesley Day
    Albert Einstein College of Medicine, Bronx, NY, USA.
  • Ryan C Pekson
    Albert Einstein College of Medicine, Bronx, NY, USA.
  • Juan Barrientos
    Albert Einstein College of Medicine, Bronx, NY, USA.
  • William B Burton
    Albert Einstein College of Medicine, Bronx, NY, USA.
  • Allison B Ludwig
    Albert Einstein College of Medicine, Bronx, NY, USA.
  • Sunit P Jariwala
    Albert Einstein College of Medicine, Bronx, NY, USA.
  • Todd Cassese
    Albert Einstein College of Medicine, Bronx, NY, USA. todd.cassese@einsteinmed.edu.