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Updated: Jan 15, 2026

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[人工智能在急性冠状动脉综合征的风险分层:未来的愿景还是已经成为现实?]

A Büscher1,2, L Plagwitz3, J Blaschke4,3

  • 1Klinik für Kardiologie II: Rhythmologie, Universitätsklinikum Münster, Albert-Schweizer-Campus 1/Gebäude A1, 48149, Münster, Deutschland. antonius.buescher@ukmuenster.de.

Herz
|January 14, 2026
PubMed
概括

人工智能 (AI) 模型增强了急性冠状动脉综合征 (ACS) 风险分层,特别是在心肌梗塞 (MI) 检测方面. 基于心电图的AI显示出更快的诊断和再输血治疗的希望.

关键词:
在这里,我们可以看到AIAIAI.深度学习是一种深度学习.电心电图是指心电图.心肌梗塞的心脏病发作统计预测模型的统计预测模型.

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