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Updated: Jan 9, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
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基于机器学习的心力衰竭查,使用心电图和心声图的综合特征:中国的一项多中心研究

Junjie Bian1,2, Kok-Han Chee3, Chengyu Liu4

  • 1Institute of Tibetan Medicine, University of Tibetan Medicine, Lhasa, China.

Frontiers in cardiovascular medicine
|December 8, 2025
PubMed
概括

一个新的基于人工智能的算法使用心电图和心电图数据准确地选心力衰竭 (HF). 这种工具有助于早期检测和干预HF患者.

关键词:
电心电图 (ECG) 是一种心电图.心脏衰竭是因为心脏衰竭.机器学习是机器学习.声心电图 (PHO) 是一种心电图.预测模型 预测模型

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Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
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