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计算机辅助检测软件在中国乡镇卫生中心发现结核病例的性能

Xuefang Cao^1,2, Boxuan Feng^1,2, Bin Zhang³

¹NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.

Chronic diseases and translational medicine

|June 9, 2025

概括

计算机辅助检测 (CAD) 软件在中国乡镇卫生中心显著改善了结核病例的发现. 在检测活跃结核病病例方面,JF CXR-1 v3.0 系统的灵敏度高于当地放射科医生.

科学领域:

医疗成像医学成像
医疗保健中的人工智能
公共卫生公共卫生

背景情况:

数字胸部X射线越来越多地使用计算机辅助检测 (CAD) 软件进行解释.
评估国内CAD解决方案对中国结核病 (TB) 病例的有效性至关重要.

研究的目的:

评估JF CXR-1 v3.0 CAD软件在识别活跃结核病例中的性能.
将CAD软件的诊断准确度与当地的放射科医生在现实环境中的诊断准确度进行比较.

主要方法:

内部评估使用了专家注释的标准图像.
一项前性现场研究比较了JF CXR-1 v3.0与当地放射科医生使用3705名门诊患者的胸部X射线.
专家小组的读数作为结核病诊断的参考标准.

主要成果:

内部评估显示,JF CXR-1 v3.0对活性结核病的敏感度为85.94%,特异性为74.65%.
在现场,JF CXR-1 v3.0实现了92.11%的灵敏度和94.54%的特异性.
当地放射科医生对活跃结核病有32.89%的敏感度和99.28%的特异性.

结论:

与当地放射科医生相比,CAD软件,特别是JF CXR-1 v3.0在结核病例发现方面表现出更高的灵敏度.
这些发现表明,CAD软件可以提高像乡镇卫生中心这样的初级医疗保健机构的结核病检测能力.

关键词:

人工智能的人工智能是人工智能.案例发现案例发现胸部X射线胸部X射线计算机辅助检测计算机辅助检测结核病是一种肺结核病.

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