Affiliation:
1. Department of Ophthalmology and Visual Sciences, UMass Chan Medical School, Worcester, Massachusetts
Abstract
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.
Subject
Process Chemistry and Technology,Economic Geology,Fuel Technology
Cited by
21 articles.
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