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在巴基斯坦的返回煤矿工人和他们的家乡社区中发现了活跃的结核病例
Public health action
|December 11, 2025
概括
人工智能辅助的胸部X射线 (CXR) 在巴基斯坦煤矿工人和他们的社区显著改善了结核病 (TB) 检测. 这种人工智能驱动的方法推用于高风险群体的活跃病例发现.
科学领域:
- 公共卫生 公共卫生
- 传染性疾病 传染性疾病
- 医疗成像医学成像
背景情况:
- 结核病 (TB) 对健康造成重大负担,特别是在高风险人群中.
- 煤矿工人和他们的社区由于职业和生活条件容易感染传染病.
研究的目的:
- 评估使用人工智能 (AI) 辅助的胸部X射线 (CXR) 检测结核病的活跃病例发现 (ACF) 的有效性.
- 评估巴基斯坦返回的煤矿工人 (RCM) 和相关社区成员 (ACM) 中的结核病负担.
主要方法:
- 一项在巴基斯坦五个拥有大量煤矿劳动力的地区进行的横截面研究.
- 查包括携带人工智能CXR,口头查和GeneXpert检测阳性病例.
- 从2020年10月到2021年9月收集的数据,查了150,242人.
主要成果:
- 在226个RCM和204个ACM中诊断出结核病.
- 整体结核病患病率为RCM的341/100,000,ACM的243/100,000.
- 与口头查相比,人工智能辅助的CXR发现了显著更多的结核病例 (1,156/100,000在RCM中,497/100,000在ACM中).
结论:
- 人工智能辅助的CXR是一种在RCM和ACM中检测结核病的高效工具.
- 这一策略显著提高了高风险人群中活跃病例的发现.
- 该研究支持将人工智能驱动的CXR集成到针对性结核病查计划中.
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