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Accepted for/Published in: JMIR Medical Education

Date Submitted: Feb 2, 2025
Date Accepted: May 16, 2025

The final, peer-reviewed published version of this preprint can be found here:

Assessment of Large Language Model Performance on Medical School Essay-Style Concept Appraisal Questions: Exploratory Study

Mehta S, Haddad EN, Burke IB, Majors AK, Maeda R, Burke SM, Deshpande A, Nowacki A, Lindenmeyer CC, Mehta N

Assessment of Large Language Model Performance on Medical School Essay-Style Concept Appraisal Questions: Exploratory Study

JMIR Med Educ 2025;11:e72034

DOI: 10.2196/72034

PMID: 40523238

PMCID: 12208947

Assessment of Large Language Model Performance on Medical School Essay-Style Concept Appraisal Questions: An Exploratory Study

  • Seysha Mehta; 
  • Eliot N. Haddad; 
  • Indira Bhavsar Burke; 
  • Alana K. Majors; 
  • Rie Maeda; 
  • Sean M. Burke; 
  • Abhishek Deshpande; 
  • Amy Nowacki; 
  • Christina C. Lindenmeyer; 
  • Neil Mehta

ABSTRACT

Microsoft Copilot, a ChatGPT 4.0 based Large Language Model, demonstrated comparable performance to medical students in answering essay-style CAPPs, while assessors struggled to differentiate AI from human responses. These results highlight the need to prepare students and educators for a future world of AI by fostering reflective learning practices and critical thinking.


 Citation

Please cite as:

Mehta S, Haddad EN, Burke IB, Majors AK, Maeda R, Burke SM, Deshpande A, Nowacki A, Lindenmeyer CC, Mehta N

Assessment of Large Language Model Performance on Medical School Essay-Style Concept Appraisal Questions: Exploratory Study

JMIR Med Educ 2025;11:e72034

DOI: 10.2196/72034

PMID: 40523238

PMCID: 12208947

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