Improved Performance of ChatGPT-4 on the OKAP Examination: A Comparative Study with ChatGPT-3.5
Teebagy, Sean ; Colwell, Lauren ; Wood, Emma ; Yaghy, Antonio ; Faustina, Misha
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Abstract
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. Both models were tested on 180 OKAP practice questions covering various ophthalmology subject categories. ChatGPT-4 significantly outperformed ChatGPT-3.5 (81% vs. 57%; <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.
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Teebagy S, Colwell L, Wood E, Yaghy A, Faustina M. Improved Performance of ChatGPT-4 on the OKAP Examination: A Comparative Study with ChatGPT-3.5. J Acad Ophthalmol (2017). 2023 Sep 11;15(2):e184-e187. doi: 10.1055/s-0043-1774399. PMID: 37701862; PMCID: PMC10495224.
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This article is based on a previously available preprint in medRxiv, https://doi.org/10.1101/2023.04.03.23287957.