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诊断绩效的比较分析:根据LLaMA3对LLaMA2的差异诊断列表,用于病例报告

Takanobu Hirosawa1, Yukinori Harada1, Kazuki Tokumasu2

  • 1Department of Diagnostic and Generalist Medicine, Dokkyo Medical University, Shimotsuga, Japan.

JMIR formative research
|November 19, 2024
PubMed
概括

与LLaMA2相比,LLaMA3大型语言模型在生成医疗病例报告的差异诊断方面显著提高了诊断性能. 生成性人工智能的这一进步显示出提高临床决策支持工具的前景.

关键词:
在这里,我们可以看到AIAIAI.法学士:诊断诊断的方法拉拉玛拉拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉玛拉在NLP中,我们使用了NLP.人工智能的人工智能是人工智能.案例报告案例报告临床决策 临床决策临床决策支持系统.决策是做出决策的过程.决策支持提供了决策支持.诊断 诊断 诊断 诊断 诊断 诊断生成型的人工智能生成型的人工智能 (GAI)大型语言模型.自然语言处理自然语言处理.

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