AI-CAD增强了肺结核检测和在活跃病例发现中的产量
A Frederick1, R Kubendiran1, T Neelagandan1
1Department of Health and Family Welfare, Chennai, India.
IJTLD open
|October 15, 2025
概括
一个人工智能辅助的计算机辅助检测 (AI-CAD) 解决方案显著改善了印度结核病 (TB) 诊断率. 与传统查相比,这种AI-CAD工具超过了世卫组织的目标,增加了结核病诊断和唾液阳性.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 公共卫生 公共卫生
背景情况:
- 印度面临着世界上结核病 (TB) 负担最高的地区,占全球发病率的27%.
- 一个基于社区的活跃病例发现结核病查计划在印度泰米尔纳德邦进行.
研究的目的:
- 评估用于结核病查的人工智能辅助计算机辅助检测 (AI-CAD) 解决方案的性能.
- 将人工智能辅助查与传统查方法进行比较.
主要方法:
- 移动诊断单元中的数字X射线机器用于社区结核病查.
- 用AUROC,灵敏度和特异性来评估AI-CAD的性能.
- 对五个地区的传统查数据进行了比较分析.
主要成果:
- AI-CAD获得了0.93的灵敏度和0.83的特异性,超过了世卫组织的目标.
- 人工智能解释与阳性结核病诊断密切相关 (OR: 58.95,P < 0.0001).
- 人工智能辅助查导致结核病诊断增加2.09倍,唾液阳性率提高2.86倍.
结论:
- 该AI-CAD解决方案满足并超过了世卫组织针对结核病检测的最低目标产品配置.
- 增强的唾液阳性产量凸显了AI-CAD在大规模结核病查计划中的潜力.
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