Improved Performance of ChatGPT-4 on the OKAP Exam: A Comparative Study with ChatGPT-3.5 [preprint]
UMass Chan AffiliationsOphthalmology and Visual Sciences
T.H. Chan School of Medicine
Ophthalmology Knowledge Assessment Program (OKAP) examination
medical knowledge assessment
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AbstractThis 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. Both models were tested on 180 OKAP practice questions covering various ophthalmology subject categories. Results showed that ChatGPT-4 significantly outperformed ChatGPT-3.5 (81% vs. 57%; p<0.001), indicating improvements in medical knowledge assessment. 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.
SourceImproved Performance of ChatGPT-4 on the OKAP Exam: A Comparative Study with ChatGPT-3.5. Sean Teebagy, Lauren Colwell, Emma Wood, Antonio Yaghy, Misha Faustina. medRxiv 2023.04.03.23287957; doi: https://doi.org/10.1101/2023.04.03.23287957
Permanent Link to this Itemhttp://hdl.handle.net/20.500.14038/51914
NotesThis article is a preprint. Preprints are preliminary reports of work that have not been certified by peer review.
Funding and AcknowledgementsThis study did not receive any funding.
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Except where otherwise noted, this item's license is described as The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.