Sean Teebagy, Lauren Colwell, Emma Wood, Antonio Yaghy, Misha Faustina
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引用次数: 2
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.
本研究旨在评估先进的人工智能(AI)语言模型ChatGPT-4在眼科知识评估计划(OKAP)考试中的表现，并与其前身ChatGPT-3.5进行比较。方法:采用180道OKAP实践题对两种模型进行检验。结果:ChatGPT-4显著优于ChatGPT-3.5 (81% vs. 57%;p讨论:ChatGPT-4的优越性能表明其在眼科教育和临床决策支持系统中的潜在适用性。未来的研究应侧重于完善人工智能模型，确保基础知识和专业知识的平衡代表，并确定将人工智能融入医学教育和实践的最佳方法。
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