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Updated: Jan 9, 2026

Benefits of Cardiac Resynchronization Therapy in an Asynchronous Heart Failure Model Induced by Left Bundle Branch Ablation and Rapid Pacing
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基于深度学习的预测模型,用于使用心电图数据对心脏再同步治疗反应者的心脏再同步治疗

Hitoshi Mori1, Yuya Fujisaki2, Syunta Higuchi3

  • 1Department of Cardiology, Saitama Medical University International Medical Center, Hidaka, Japan.

Journal of cardiovascular electrophysiology
|December 3, 2025
PubMed
概括

使用心电图 (ECG) 数据的深度学习模型可以预测心脏再同步治疗 (CRT) 的反应. 这种人工智能方法可以改善患者对CRT的选择,增强心力衰竭管理.

关键词:
心脏再同步治疗心脏再同步治疗深度学习是一种深度学习.电心电图 (ECG) 是一种心电图.应对者应对者应对者应对者应对者

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