30-Day Risk Score for Mortality and Stroke in Patients with Carotid Artery Stenosis Using Artificial Intelligence Based Carotid Plaque Morphology.

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Bibliographic Details
Title: 30-Day Risk Score for Mortality and Stroke in Patients with Carotid Artery Stenosis Using Artificial Intelligence Based Carotid Plaque Morphology.
Authors: Patel RJ; Center for Learning and Excellence in Vascular & Endovascular Research (CLEVER), Division of Vascular and Endovascular Surgery, Department of Surgery, University of California San Diego, San Diego, CA., Willie-Permor D; Center for Learning and Excellence in Vascular & Endovascular Research (CLEVER), Division of Vascular and Endovascular Surgery, Department of Surgery, University of California San Diego, San Diego, CA., Fan A; Center for Learning and Excellence in Vascular & Endovascular Research (CLEVER), Division of Vascular and Endovascular Surgery, Department of Surgery, University of California San Diego, San Diego, CA., Zarrintan S; Center for Learning and Excellence in Vascular & Endovascular Research (CLEVER), Division of Vascular and Endovascular Surgery, Department of Surgery, University of California San Diego, San Diego, CA., Malas MB; Center for Learning and Excellence in Vascular & Endovascular Research (CLEVER), Division of Vascular and Endovascular Surgery, Department of Surgery, University of California San Diego, San Diego, CA. Electronic address: mmalas@health.ucsd.edu.
Source: Annals of vascular surgery [Ann Vasc Surg] 2024 Dec; Vol. 109, pp. 63-76. Date of Electronic Publication: 2024 Jul 14.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8703941 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1615-5947 (Electronic) Linking ISSN: 08905096 NLM ISO Abbreviation: Ann Vasc Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1615-5947
DOI:10.1016/j.avsg.2024.05.016