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American Journal of Preventive Cardiology|September 7, 2023
Cardiometabolic predictors of high-risk CCTA phenotype in a diverse patient populationToshiki Kuno, Javier Arce, Michael Fattouh, et al.
The American Journal of Cardiology|May 12, 2015
Validation of the appropriate use criteria for percutaneous coronary intervention in patients with stable coronary artery disease (from the COURAGE trial)Steven M Bradley, Paul S Chan, Pamela M Hartigan, et al.
Circulation|March 19, 2003
The VIVA trial: Vascular endothelial growth factor in Ischemia for Vascular AngiogenesisTimothy D Henry, Brian H Annex, George R McKendall, et al.
JACC. Cardiovascular Imaging|June 22, 2020
A Clinical Tool to Identify Candidates for Stress-First Myocardial Perfusion ImagingSoroush Rouhani, Ali Al Shahrani, Alomgir Hossain, et al.
European Heart Journal. Cardiovascular Imaging|January 17, 2025
Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessmentJianhang Zhou, Aakash D Shanbhag, Donghee Han, et al.
Circulation. Cardiovascular Imaging|March 3, 2025
Race- and Sex-Specific Age at Which Coronary Artery Calcium Becomes Detectable Among Young AdultsYvette A Yeboah-Kordieh, Ellen Boakye, Albert D Osei, et al.
The American Journal of Cardiology|April 27, 2012
Cardiologist concordance with the American College of Cardiology appropriate use criteria for cardiac testing in patients with coronary artery diseaseFay Y Lin, Lisa R Rosenbaum, Dan Gebow, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|April 24, 2021
Machine Learning with 18F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial InfarctionJacek Kwiecinski, Evangelos Tzolos, Mohammed N Meah, et al.
Heart (British Cardiac Society)|December 25, 2015
Coronary calcium scoring for long-term mortality prediction in patients with and without a family history of coronary diseaseJoseph T Knapper, Faisal Khosa, Michael J Blaha, et al.
NPJ Digital Medicine|February 3, 2024
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imagingRobert J H Miller, Aakash Shanbhag, Aditya Killekar, et al.
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