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使用GPT-4.0,ERNIE Bot 4.0和GPT-4o进行医学许可证考试的评估

Luoyu Lian¹, Xin Luo², Kavimbi Chipusu³

¹Department of Thoracic Surgery, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou 362000, China.

Bioengineering (Basel, Switzerland)

|January 28, 2026

概括

ERNIE Bot 4.0和GPT-4o在2023年中国医疗执照考试中表现出色,表现优于GPT-4.0.0. 这些先进的大型语言模型 (LLM) 显示了人工智能在医学教育和评估中的整合的前景.

科学领域:

人工智能在医学中的应用
医疗教育技术技术医学教育
自然语言处理自然语言处理.

背景情况:

大型语言模型 (LLM) 在专业领域越来越多地被探索其潜力.
在高风险的专业考试中评估LLM绩效对于了解他们的能力至关重要.
中国医疗执照考试为人工智能在医疗保健教育中的严格测试案例.

研究的目的:

在2023年中国医疗执照考试中系统评估和比较三个高级LLM (GPT-4.0,ERNIE Bot 4.0,GPT-4o) 的表现.
分析这些LLM在医学执照考试的不同领域的准确性.
确定每个LLM的优点和局限性,以便在医学培训中潜在应用.

主要方法:

利用了来自2023年中国医学执照考试的600个标准化问题的数据集.
绩效分析主要集中在三个部分:基本医学综合,临床医学综合和人文与预防医学综合.
对每个LLM (GPT-4.0,ERNIE Bot 4.0,GPT-4o) 的准确度指标是根据考试的基准计算的.

主要成果:

与GPT-4.0.0相比,ERNIE Bot 4.0和GPT-4o都表现出了优越的性能.
ERNIE Bot 4.0和GPT-4o的准确性得分超过了国家合格标志.
在这种特定的医疗执照考试背景下,GPT-4.0的表现较差.

结论:

像ERNIE Bot 4.0和GPT-4o这样的高级LLM显示出在医疗教育和评估中提供帮助的巨大潜力.
这些发现强调了需要进一步研究LLM在多语言医疗环境中的能力和局限性.
整合像LLM这样的AI工具可以为增强医疗培训和检查流程提供途径.

关键词:

埃尔尼机器人 4.0 在 GPT-4.0 中使用.在 GPT-4o 中.大型语言模型.医学执照考试医学执照考试多语言的人工智能

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