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Updated: Jun 18, 2026

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基于人工智能的冠状动脉狭窄症量化在冠状动脉CT血管学与定量冠状动脉血管学

James Dundas1, Jonathon A Leipsic1, Stephanie Sellers1

  • 1From the Department of Medicine and Radiology, University of British Columbia, Vancouver, British Columbia, Canada (J.D., J.A.L., P.B., G.T.); Cardiovascular Translational Laboratory, Centre for Heart Lung Innovation & Providence Research, Vancouver, British Columbia, Canada (S.S.); HeartFlow, Mountain View, Calif (P.M., N.N., S.M.); Centre for Heart Valve Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, British Columbia, Canada (D.M., J.S.); Interventional Cardiology Department, Ramsay Générale de Santé, Institut Cardiovasculaire Paris Sud, Massy, France (M.A.); OLV Clinic, Cardiovascular Center Aalst, Aalst, Belgium (C.C., B.d.B.); and Department of Cardiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland (O.M., G.T.).

Radiology. Cardiothoracic imaging
|January 2, 2024
PubMed
概括

一个新的人工智能工具准确地从CT血管学中量化冠状动脉狭窄的严重程度,显示了与检测重大阻塞的入侵方法相比较高的诊断性能.

关键词:
图像扫描血管学 CT血管学一个心脏病患者的心脏病.冠状动脉 冠状动脉 冠状动脉

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