增强型人工智能对CT肺栓塞的评估的价值评估 - - 一项包含15963张CT扫描的元分析
Igor M Kitanovski1, Alec Buetow2, Steven C Schoettler-Woll3
1Dartmouth Geisel School of Medicine, Hanover, NH, USA.
人工智能 (AI) 和人类解释器 (HI) 在CT扫描上检测肺栓塞 (PE) 的性能相似. 这一元分析表明,人工智能对分类和第二次阅读有价值,但其额外的好处需要进一步研究.
科学领域:
- 放射学 放射学是一门学科.
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 放射学中的AI算法主要用于增强,而不是取代人类读者.
- 增强型人工智能工具旨在提高超出个人能力的诊断性能.
- 在CT扫描上检测肺栓塞 (PE) 是AI在放射学中的关键应用.
研究的目的:
- 进行一项元分析,评估增强人工智能对放射科医生在CT扫描上检测PE的附加值.
- 将AI的诊断性能与人类解释器 (HI) 的诊断性能进行比较.
主要方法:
- 根据PRISMA指南进行了一项元分析.
- 选择了比较AI和HI在CT扫描上检测PE的研究.
- 诊断性能指标 (灵敏度,特异性,PPV,NPV,准确性) 被提取并进行比较.
主要成果:
- 聚合估计显示,AI和HI之间在灵敏度,特异性,PPV,NPV或准确性方面没有统计学上显著的差异.
- 在单个研究中的子分析也显示,AI和HI之间没有显著的性能差异.
- 这项研究分析了近16000次CT扫描的数据.
结论:
- AI和HI在CT扫描上检测PE方面表现相似.
- 人工智能的当前价值被支持用于分类和二读应用程序.
- 需要进一步的研究来重新评估人工智能使用场景及其价值主张,当它被添加到人类解释中时.
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