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Atherosclerosis Imaging Quantitative Computed Tomography (AI-QCT) to Guide Referral to Invasive Coronary Angiography in the Randomized Controlled CONSERVE Trial

Yumin Kim,Andrew D. Choi,Anha Telluri,Isabella Lipkin,Andrew J. Bradley,Alfateh Sidahmed,Rebecca Jonas,Daniele Andreini,Ravi Bathina,Andrea Baggiano,Rodrigo Cerci,Eui-Young Choi,Jung-Hyun Choi,So-Yeon Choi,Namsik Chung,Jason Cole,Joon-Hyung Doh,Sang-Jin Ha,Ae-Young Her,Cezary Kepka,Jang-Young Kim,Jin Won Kim,Sang-Wook Kim,Woong Kim,Gianluca Pontone,Todd C. Villines,Iksung Cho,Ibrahim Danad,Ran Heo,Sang-Eun Lee,Ji Hyun Lee,Hyung-Bok Park,Ji-min Sung,Tami Crabtree,James P. Earls,James K. Min,Hyuk-Jae Chang

CLINICAL CARDIOLOGY（2023）

Cited 5|Views7
Key words
artificial Intelligence,atherosclerosis,CCTA,coronary artery disease,coronary computed tomography,fractional flow reserve,quantitative coronary angiography
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