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人工人工智能团队对冠状动脉CT血管学评估:对成像工作流程和诊断准确性的影响

Florian Andre^1,2, Philipp Fortner², Matthias Aurich²

¹Department of Cardiology, Angiology and Pneumology, University of Heidelberg, 69120 Heidelberg, Germany.

Diagnostics (Basel, Switzerland)

|December 9, 2023

概括

人工智能 (AI) 通过减少分析和报告时间,显著改善了冠状动脉计算机断层扫描血管学 (CTA) 工作流程. 这种基于人工智能的方法提高了高容量心脏成像的效率,而不会影响冠状动脉疾病的诊断准确性.

科学领域:

心血管成像 - 心血管成像
人工智能在医学中的应用
放射学工作流的优化工作流的优化

背景情况:

冠状动脉计算机断层扫描血管造影 (CTA) 的数量增加需要优化工作流程.
人工智能 (AI) 显示出提高医学成像效率和准确性的潜力.

研究的目的:

评估AI对临床工作流程和冠状动脉CTA诊断准确性的影响.
评估人工智能在大量心脏成像中心的有效性.

主要方法:

120名接受冠状动脉CTA的患者被随机分为标准和基于AI (人类AI) 的分析组.
冠状动脉疾病的严重程度使用CAD-RADS进行分级.
在各组之间比较了CTA评估时间和总报告时间.

主要成果:

基于人工智能的分析显著减少了冠状动脉CTA评估时间 (142.5秒对195.0秒;p < 0.002).
在人工智能组,总报告时间也显著降低 (274.0s vs. 350s; p < 0.02).
组之间没有观察到诊断准确度 (CAD-RADS相关变化) 的显著差异 (p = 0.80).

结论:

基于人工智能的分析通过减少评估和报告时间,提高了冠状动脉CTA的临床工作流效率.
在心脏成像中心集成人工智能优化工作流程,而不牺牲诊断准确度.
人工智能工具对于管理大量的冠状动脉CTA检查非常有价值.

关键词:

人工智能的人工智能是人工智能.计算机断层扫描 (CT) 是一种计算机断层扫描.冠状动脉CT动脉图.冠状动脉疾病是一种冠状动脉疾病.人类人工智能与人工智能合作工作流的工作流.

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