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评估大型语言模型与大型语言模型的对比白内障和折射手术的住户:使用AAO BCSC自我评估计划进行比较分析

Avi Wallerstein^1,2, Taanvee Ramnawaz^2,3, Mathieu Gauvin^1,2

¹Department of Ophthalmology and Visual Sciences, McGill University, Montreal, QC, Canada.

Journal of cataract and refractive surgery

|October 31, 2025

概括

聊天GPT-4o在回答白内障和折射手术问题方面表现出卓越的准确性,明显优于眼科住院医生和其他大型语言模型 (LLM). 快速复杂性没有影响LLM的表现.

科学领域:

眼科医生眼科眼科
人工智能的人工智能
医学教育医学教育

背景情况:

大型语言模型 (LLM) 越来越多地用于各种领域,包括医学.
评估LLM在眼科等专业医疗领域的准确性至关重要.
对于眼科医生来说,白内障和折射手术知识是必不可少的.

研究的目的:

评估领先的LLM在回答与白内障和折射手术有关的问题的准确性.
为了确定即时复杂性是否影响LLM在这个领域的表现.
为了比较LLM准确度与眼科住院医生的表现.

主要方法:

一项基于问卷的随机研究使用了BCSC自我评估计划的白内障和折射手术部分的100个问题.
测试了五种LLM (ChatGPT-4,ChatGPT-4o,双子座,双子座高级和副驾驶精确模式).
使用简单和上下文提示来评估LLM,准确度定义为正确答案的比例. 来自1983名BCSC用户的数据作为比较.

主要成果:

聊天GPT-4o实现了最高的准确性 (84%的简单提示,86%的复杂提示).
简单和复杂提示之间的性能差异对于任何LLM都没有统计学意义.
聊天GPT-4o是唯一显著超过眼科住院医生的模型 (平均得分为77%),而Gemini Advanced和Copilot显示出更高的性能趋势.

结论:

聊天GPT-4o在各种提示类型中表现出优越和一致的性能,并且明显超过了眼科住院医生.
在这项研究中,快速复杂性并没有显著改变LLM准确性.
LLM,特别是ChatGPT-4o,显示出作为折射手术知识评估的有价值工具的潜力,大多数模型都超过了60%的准确度值.

关键词:

人工智能的人工智能是人工智能.聊天GPT 聊天在GPT 聊天副驾驶员是我们的副驾驶员.双子座是一个双子座.大型语言模型.眼科医生眼科眼科折射手术是一种折射手术.

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