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Updated: Jan 12, 2026

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ECG-XPLAIM:可解释的局部适应的人工智能模型,用于从大规模心电图数据中检测心律失常

Panteleimon Pantelidis1, Samuel Ruipérez-Campillo2, Julia E Vogt2

  • 13rd Department of Cardiology, National and Kapodistrian University of Athens, Athens, Greece.

Frontiers in cardiovascular medicine
|November 3, 2025
PubMed
概括

人工智能模型ECG-XPLAIM使用深度学习准确检测心律失常,并通过突出显示关键心电图段来提供可解释的结果. 它的开源发布促进了更广泛的临床采用和验证.

关键词:
节律失常 (arrhythmia) 是一种心律失常.人工智能的人工智能是人工智能.心脏信号的心脏信号深度学习是一种深度学习.电心电图 (ECG) 是一种心电图.可以解释性的解释性.机器学习是机器学习.

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