MIDRC mRALE 大挑战:人工智能可以预测胸部X射线图上的COVID严重程度
Samuel G Armato1, Karen Drukker1, Lubomir Hadjiiski2
1The University of Chicago, Department of Radiology, Chicago, Illinois, United States.
Journal of medical imaging (Bellingham, Wash.)
|April 25, 2025
概括
人工智能 (AI) 在使用胸部X射线评估COVID-19严重程度方面表现有前途. 医学影像和数据资源中心 (MIDRC) 的挑战突出了AI.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 放射学 放射学是一门学科.
背景情况:
- COVID-19的诊断和严重程度评估通常依赖于胸部X射线图.
- 便携式胸部X射线 (CXR) 对重症患者至关重要.
- 标准化肺的评估对于患者的管理至关重要.
研究的目的:
- 开发和评估用于自动化mRALE评分的人工智能 (AI) 技术.
- 促进人工智能开发,从便携式CXR评估COVID-19的严重程度.
- 将AI性能与放射科医生的评估进行基准测试.
主要方法:
- 医学成像和数据资源中心 (MIDRC) 举办了一次大型挑战,使用2079个培训和814个测试案例.
- 参与者通过Docker容器向MedICI平台提交AI算法.
- 人工智能算法使用二次加权的卡帕和预测概率一致性进行了评估.
主要成果:
- 九个人工智能算法被提交并评估.
- 性能最好的AI实现了0.885的二次加权卡帕和0.875.5的一致性.
- 在人类和人工智能分配的mRALE分数中都注意到了显著的变化.
结论:
- 人工智能展示了从便携式CXRs进行COVID-19严重性评估的潜力.
- 标准化严重性评估仍然是一个挑战,如得分变化所示.
- 这些发现支持AI开发用于临床使用和改进COVID-19评估.
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