通过人工智能自动测量左心室体积和射出分数:实时临床验证和大型数据库
Sindre Olaisen1, Erik Smistad1,2, Torvald Espeland1,3
1Centre for Innovative Ultrasound Solutions, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Prinsesse Kristinas Gate 3, 7030 Trondheim, Norway.
European heart journal. Cardiovascular Imaging
|October 26, 2023
概括
人工智能 (AI) 软件显著减少了77%的心声回声图采集和处理时间. 这种用于测量左心室喷射率 (LVEF) 的人工智能工具与手工方法相比,表现出卓越的准确性和可重复性.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 心声成像对于心脏成像至关重要,左心室喷射率 (LV EF) 是一个关键的患者管理参数.
- 人工智能 (AI) 提供自动化LV体积和EF测量,可能简化临床工作流程.
研究的目的:
- 评估人工智能驱动的LV测量对获取/处理时间和测试-重新测试可重复性的影响.
- 将AI测量与标准临床工作流程和大型数据库中的参考数据进行比较.
主要方法:
- 用于LV体积和EF测量的AI软件与实时扫描 (50名患者) 和存储记录中的手动方法进行了比较.
- 通过多个读者 (40个受试者) 进行重复测量来评估可重复性.
- 在大型内部 (1881个主题) 和外部 (849个主题) 数据库中评估了与参考标准的一致性.
主要成果:
- 实时人工智能测量可以将总采集和处理时间减少77% (P < 0.001).
- 人工智能证明了卓越的观察者间和非劣势的观察者内部测试-复试可重复性.
- 人工智能测量显示,在实时和大型数据库场景中,与参考值保持良好一致.
结论:
- 人工智能软件显著减少了回声心电图采集和体积分析所需的时间.
- 人工智能工具提供精确的LV测量,可与专家手动分析相提并论,而不影响精度.
相关概念视频
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Transthoracic Echocardiography (TTE)
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