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Updated: May 7, 2026

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机器学习计算机辅助心电图分析预测心肌纤维化在患有多变性心肌病的患者

Dafne Viliani1, Alberto Cecconi2, Beatriz López-Melgar2

  • 1Cardiology Department, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, IIS-IP, Spain; Cardiology Department, Ospedale Santa Chiara, Trento, Italy.

Journal of electrocardiology
|February 16, 2025
PubMed
概括

在高性心肌病 (HCM) 患者的心电图 (ECG) 机器学习分析中,确定QRS持续时间是纤维化的关键预测因素. 这种计算机辅助的心电图方法有助于在心磁共振 (CMR) 无法使用时进行风险分层.

关键词:
心脏磁共振是一种心脏磁共振.计算机辅助的心电图分析过度缩性心肌病变性是一种心脏病变.晚期加多增强的加多增强突发心脏病死亡风险分层分层.

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