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Updated: Feb 4, 2026

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通过12导电心电图检测急性心肌梗塞的多模式深度学习:一个具有跨医院验证的多中心研究

Vibha Gupta1,2, Lukas Hilgendorf1, Erik Andersson1,2

  • 1Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Bruna Stråket 16, 413 45 Göteborg, Gothenburg, Sweden.

European heart journal. Digital health
|February 2, 2026
PubMed
概括

一种新的深度学习模型使用心电图 (ECG) 准确检测急性心肌梗塞 (AMI). 这种人工智能工具在医院中显示出强大的通用性,改善了及时的AMI诊断.

关键词:
急性心肌梗塞 (AMI) 是指心肌梗塞的发生.心脏病学中的人工智能深度学习是一种深度学习.电心电图 (ECG) 是一种心电图.外部验证的验证方法多模式神经网络多模式神经网络

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