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Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
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人工智能启用定量冠状动脉斑块和血液动力学分析来预测急性冠状动脉综合征

Bon-Kwon Koo1, Seokhun Yang1, Jae Wook Jung1

  • 1Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul National University of College of Medicine, Seoul, South Korea.

JACC. Cardiovascular imaging
|May 16, 2024
PubMed
概括

人工智能支持的定量冠状动脉斑块和血液动力学分析 (AI-QCPHA) 显著改善了急性冠状动脉综合征 (ACS) 罪病变的预测. 这种AI-QCPHA方法提供了比传统的冠状动脉计算机断层扫描 angiography 分析更好的风险分层.

关键词:
急性冠状动脉综合征是什么人工智能的人工智能是人工智能.冠状动脉CT动脉图.血液动力学 血液动力学斑块的特征 斑块的特征

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