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AXpert:人类专家为腹部X射线报告标签提供了保护隐私的大型语言模型

Yufeng Zhang1, Joseph G Kohne2,3, Katherine Webster2

  • 1Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48105, United States.

JAMIA open
|February 11, 2025
PubMed
概括

本研究介绍了AXpert,这是一个大型语言模型 (LLM),用于分析腹部X射线 (AXR) 以检测死角性肠球炎 (NEC). AXpert显著提高了诊断准确度,并减少了这种罕见的儿科疾病的手动标签工作.

关键词:
指令微调 微调指令.大型语言模型.模型蒸的蒸方式自然语言处理自然语言处理.放射学报告标签的标签

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相关概念视频

X-ray Imaging01:24

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...