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Updated: Mar 15, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
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整合传统的统计数据和可解释的机器学习,用于脉冲场切除后心房的复发风险分层:一个产生假设的单中心研究

Haoqing Ren1,2, Hengli Lai3

  • 1Jiangxi Medical College, Nanchang University, Nanchang, China.

BMC cardiovascular disorders
|March 14, 2026
PubMed
概括

在心房动 (AF) 脉冲场切除 (PFA) 后预测复发是很困难的. 手术前的NT-proBNP水平可能有助于识别患有AF复发后PFA风险较高的患者.

关键词:
在心房动的情况下,心房动.可解释的人工智能机器学习 机器学习脉冲场消去法 脉冲场消去法 脉冲场消去法复发情况 复发情况风险分层是指风险的分层.

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