Improved Performance of ChatGPT-4 on the OKAP Examination: A Comparative Study with ChatGPT-3.5

  • Teebagy S
  • Colwell L
  • Wood E
  • et al.
N/ACitations
Citations of this article
54Readers
Mendeley users who have this article in their library.

Abstract

Introduction: This study aims to evaluate the performance of ChatGPT-4, an advanced artificial intelligence (AI) language model, on the Ophthalmology Knowledge Assessment Program (OKAP) examination compared to its predecessor, ChatGPT-3.5.Methods: Both models were tested on 180 OKAP practice questions covering various ophthalmology subject categories.Results: ChatGPT-4 significantly outperformed ChatGPT-3.5 (81% vs. 57%; p<0.001), indicating improvements in medical knowledge assessment.Discussion: The superior performance of ChatGPT-4 suggests potential applicability in ophthalmologic education and clinical decision support systems. Future research should focus on refining AI models, ensuring a balanced representation of fundamental and specialized knowledge, and determining the optimal method of integrating AI into medical education and practice.

Cite

CITATION STYLE

APA

Teebagy, S., Colwell, L., Wood, E., Yaghy, A., & Faustina, M. (2023). Improved Performance of ChatGPT-4 on the OKAP Examination: A Comparative Study with ChatGPT-3.5. Journal of Academic Ophthalmology, 15(02), e184–e187. https://doi.org/10.1055/s-0043-1774399

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free