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Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
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人工智能启用了定量高风险斑块属性,用于预测非罪祸首的血管中的冠状动脉事件.

Qian Chen1, Xiaofei Gao2, Ling Lin2

  • 1Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.

Radiology. Cardiothoracic imaging
|February 26, 2026
PubMed
概括

冠状动脉CT血管造影 (CCTA) 的人工智能 (AI) 分析确定了非罪祸首血管的高风险特征. 这些人工智能衍生的特征预测皮肤穿透冠状动脉干预后的主要不良心脏事件 (MACE).

关键词:
计算机断层扫描血管学高风险斑块高风险斑块是什么通过皮肤进行冠状动脉干预.

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