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人工智能检测来自心电图的闭合性心肌梗塞,被常规算法解释为"正常"

Shifa R Karim¹, Hans C Helseth², Peter O Baker³

¹Baylor University, Waco, TX 76798, USA.

Journal of personalized medicine

|April 25, 2025

概括

人工智能 (AI) 可以在心电图 (ECG) 中检测出常规计算机算法 (CCA) 错误地将其标记为正常的急性冠状动脉封闭性心肌梗塞 (OMI). 在CCA错过诊断的情况下,AI在81%的病例中发现了OMI.

科学领域:

心脏病学心脏病学
人工智能在医学中的应用
医学诊断医学诊断医学诊断

背景情况:

传统的计算机算法 (CCA) 将心电图 (ECG) 解释为"正常"可能会忽视急性冠状动脉封闭心肌梗塞 (OMI).
对于标准算法来说看起来正常的ECG中,有必要确定OMI.

研究的目的:

评估人工智能 (AI) 模型在ECG上检测OMI的能力.
评估AI是否可以在CCA解释"正常"的情况下识别OMI.

主要方法:

来自OMI确诊患者的ECG的回顾性分析 (2014-2024).
最初被CCA解释为"正常"的ECG被PMcardio OMI AI ECG模型重新评估.
由急性心肌梗塞诊断,血管图检测结果,以及特定的流动/热素/壁异常标准定义的OMI结局.

主要成果:

在42名OMI患者中,88%的首次心电图被CCA分类为"正常".
人工智能在这些最初"正常"心电图的81%和所有CCA"正常"心电图的72%中发现了OMI.
人工智能很少将OMI患者的心电图错误分类为正常.

结论:

传统的计算机算法可能无法在心电图中识别OMI.
人工智能显示出在ECG中检测OMI的显著能力,CCA标记为正常.
人工智能为改善OMI的诊断提供了一个有希望的工具,特别是在具有挑战性的病例中.

关键词:

这是一个ECGECGECGECGECG.电脑心电图 (EKG) 是一种心电图.急性冠状动脉闭塞急性冠状动脉闭塞人工智能的人工智能是人工智能.电心电图 (ECG) 是一种心电图.心肌梗塞的心脏病发作闭塞心肌梗塞的心脏病发作选分类是为了分类.

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