人工智能的性能,以排除正常的胸部放射,以减少放射科医生的工作量
Steven Schalekamp1, Kicky van Leeuwen2, Erdi Calli2
1Department of Imaging, Radboudumc, Nijmegen, The Netherlands. steven.schalekamp@radboudumc.nl.
European radiology
|May 17, 2024
概括
一个商业人工智能 (AI) 系统能够有效地识别正常的胸部X射线图,这可能会使放射科医生的工作量减少15%. 人工智能系统实现了0.92的AUC,标志着一半的正常考试因报告遗漏而失败.
科学领域:
- 放射学和医学成像学 医学成像学
- 医疗保健中的人工智能
- 诊断性绩效评估的诊断性绩效评估是如何进行的
背景情况:
- 研究商业人工智能 (AI) 系统在临床实践中的有效性.
- 评估人工智能的潜力,以简化放射科医生的工作流程和减少工作量.
- 评估AI在识别正常胸部X射线图中的表现.
研究的目的:
- 评估商业人工智能系统在检测正常胸部放射图中的性能.
- 确定人工智能系统在减少放射科医生工作量方面的潜力.
- 在现实世界的临床环境中评估AI的准确性和可靠性.
主要方法:
- 来自两个医疗中心的1670张胸部X射线图的回顾分析.
- 三位放射科医生的发现被分类为正常,临床上无关紧要,相关,紧急和关键.
- 使用ROC曲线下的面积 (AUC),灵敏度和负预测值 (NPV) 来评估AI系统的性能.
主要成果:
- 人工智能系统在检测正常的胸部X射线图时实现了0.92的AUC.
- 在保守的操作点下,正常放射图的灵敏度为53%.
- 在这个操作点上,紧急和关键发现的NPV为98%,表明潜在的15%的工作量减少.
结论:
- 一个商业AI系统在识别正常的胸部X射线图方面表现出强的性能.
- 人工智能系统有可能通过标记正常检查,将放射科医生的工作量减少约15%.
- 人工智能系统对关键发现的高NPV支持其用于临床决策支持.
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