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Updated: Jan 10, 2026

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection
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机器学习模型用于动脉样硬化评估和心血管风险预测,基于来自CREATION注册的冠状动脉CT血管学分析

Ying Song1, Na Xu1, Jianan Zheng2

  • 1Department of Cardiology (Y.S., N.X., C.C., Y.Z., L.G., Z.G., J.C., L.S., J.Y.), Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Circulation. Cardiovascular imaging
|November 21, 2025
PubMed
概括

使用冠状动脉计算机断层扫描血管造影 (CCTA) 的新机器学习模型与传统方法相比,显著改善了对主要不良心脏事件的预测. 这种先进的CCTA模型为动脉样硬化心血管疾病提供了更好的风险评估.

关键词:
胸部疼痛 胸部疼痛 胸部疼痛冠状动脉疾病是一种冠状动脉疾病.机器学习是机器学习.

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