人工智能:在罗马尼亚弱势群体中进行活跃结核病查的有用工具 - - 优势和局限性
Beatrice Mahler1,2,3, Alexandru Stoichiță1,2,3, Dragoș Băiceanu3,4
1Pneumology II Department, Faculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania.
Frontiers in public health
|February 24, 2025
概括
与放射性成像相结合的人工智能 (AI) 在89%的病例中准确识别出结核病 (TB). 这种人工智能工具对全球弱势群体的活跃病例发现充满希望.
科学领域:
- 医疗成像医学成像
- 人工智能在医学中的应用
- 公共卫生 公共卫生
背景情况:
- 全球结核病 (TB) 控制需要为弱势群体提供先进的活跃病例查找技术.
- 人工智能 (AI) 整合到成像中,为结核病检测提供了传统诊断的有希望的补充.
研究的目的:
- 为了确定一个AI得分值,准确评估结核病风险.
- 评估人工智能辅助放射学解释在结核病诊断中的有效性.
主要方法:
- 罗马尼亚国家结核病查项目的前性研究 (2019年11月 - 2023年10月).
- 包括404名参与者 (202名结核病例,202名对照) 来自92,368名查个人.
- 人工智能X-Vision软件解释了放射图像;GeneXpert在可疑病例中证实了结核病.
主要成果:
- 在AI值为0.4时,89%的查人员获得了正确的结核病评估.
- 接收器运行特征 (ROC) 曲线分析得出曲线下的面积 (AUC) 为0.923.
- 人工智能显示出高诊断准确度,灵敏度为87.1%,特异性为91.6%.
结论:
- 将人工智能软件 (X-vision) 与细菌学诊断相结合,对于罗马尼亚弱势群体的结核病检测具有重要意义.
- 强调全球需要迅速提供结核病诊断解决方案,特别是针对弱势群体.
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