在医学分子生物学检查中比较五种生成人工智能模型的性能
1Department of Biochemistry and Molecular Biology, Xi'an Jiaotong University, Xi'an, CHN.
Cureus
|August 25, 2025
概括
五个中国人工智能模型在医学分子生物学考试中表现出色,超过了合格分数. 虽然有效的学习辅助,学生应该批判性地评估GAI的响应,因为偶尔会有不准确的结果.
科学领域:
- 医学教育
- 医学的人工智能
背景情况:
- 创造性人工智能 (GAI) 为医学教育提供了潜在的工具.
- 在分子生物学等专业领域评估GAI的表现至关重要.
研究的目的:
- 在医学分子生物学检查中评估五种中国GAI的性能.
- 评估这些GAI作为医学学生的教育辅助工具的有用性.
主要方法:
- 在医学分子生物学考试中测试了五种中国GAI (ERNIE Bot,chatGLM,iFLYTEK Spark,Qwen,Doubao).
- 使用统计分析将GAI的表现与医学本科生的表现进行了比较.
主要成果:
- 所有五个GAI的得分都超过了合格门 (60/100),得分范围在75.67到88.67之间.
- 四个GAI (ERNIE Bot,chatGLM,Qwen,Doubao) 的正确答案率明显高于本科生在总分和多选题方面.
结论:
- 作为医学分子生物学中的补充学习工具,中国的GAI已经证明了其有效性.
- 由于可能出现的错误,本科生在使用GAI输出时必须运用批判性思维.
- 建议为医学分子生物学开发专门的AI药物.
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