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Updated: Jun 7, 2025

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
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从冠状动脉CT血管学对人工智能支持的斑块量化的诊断性能与血管内超声波相比

Abdul Rahman Ihdayhid1, Georgios Tzimas1, Kersten Peterson1

  • 1From the Department of Cardiology, Fiona Stanley Hospital, Perth, Australia (A.R.I.); Harry Perkins Institute of Medical Research, Curtin Medical School, Curtin University, 11 Robin Warren Dr, Murdoch, WA 6150, Australia (A.R.I.); Department of Radiology, St Paul's Hospital, University of British Columbia, Vancouver, Canada (G.T.); HeartFlow Inc, Mountain View, Calif (K.P., N.N., S.M.); Cardiovascular Research Foundation, Columbia University, New York, NY (A.M.); and Department of Cardiovascular Medicine, William Beaumont University Hospital-Corewell Health East, Royal Oak, Mich (R.D.S.).

Radiology. Cardiothoracic imaging
|November 14, 2024
PubMed
概括

一个用于冠状动脉CT血管造影的人工智能工具显示,它与静脉内US对定量冠状动脉斑块体积的高度一致. 这种人工智能工具准确地描述斑块,有助于诊断和治疗规划.

关键词:
人工智能的人工智能冠状动脉CT血管学图冠状动脉斑块 冠状动脉斑块 是一种冠状动脉斑块.血管内治疗 美国

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