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基于人工智能的心声回声评估,以检测肺高血压
Mahan Salehi1, Samer Alabed1,2, Michael Sharkey1
1Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
ERJ open research
|May 13, 2025
概括
人工智能 (AI) 工具可以从肺高血压 (PH) 查的回声心脏图准确地测量三回喷射速度 (TRJV). 自动化TRJV测量显示出高诊断准确度,支持在PH检测中应用AI.
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:
- 在心声学上的三回喷流速度 (TRJV) 对于查疑似肺高血压 (PH) 至关重要.
- 人工智能 (AI) 工具为PH检测提供自动回声心电图分析.
- 本研究评估了US2.AI工具在PH患者队列中的性能.
研究的目的:
- 评估US2.AI工具的性能和实用性,用于自动化TRJV测量.
- 为了比较人工智能衍生的TRJV测量与手动测量.
- 评估基于AI的TRJV测量对PH检测的诊断准确性.
主要方法:
- 对1031名因怀疑PH而被调查的患者进行了回顾性分析 (2009-2021年).
- 手动和US2.AI工具对TRJV进行评估的心声成像.
- 根据2022年欧洲指南,用于确认PH诊断的右心腔导管 (RHC).
主要成果:
- 该工具US2.AI实现了高的解释产量,测量TRJV在87%的心声回声图.
- 在手动和人工智能衍生的TRJV值之间观察到很好的一致性 (ICC 0.94).
- 自动TRJV测量显示,PH的诊断准确度与手动测量相当 (AUC为0.88).
结论:
- 通过人工智能进行自动化TRJV测量是可行的,准确和可靠的.
- 以人工智能为基础的回声心电图评估为PH提供了类似于手工方法的诊断准确性.
- 这些发现支持将AI工具集成到PH诊断成像的心声回声学中.
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