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CT ​Evaluation ​by ​Artificial ​Intelligence ​for ​Atherosclerosis, Stenosis an...

Choi, A; Marques, H; Kumar, V; Griffin, W; Rahban, H; Karlsberg, R; Zeman, R; Katz, R; Earls, J

Background: Atherosclerosis evaluation by coronary computed tomography angiography (CCTA) is promising for coronary artery disease (CAD) risk stratification, but time consuming and requires high expertise. Artificial Intelligence (AI) applied to CCTA for comprehensive CAD assessment may overcome these limitations. We hypothesized AI aided analysis allows for rapid, accurate evaluation of vessel morphology and s...

Date: 2021   |   Origin: Repositório do Centro Hospitalar de Lisboa Central, EPE
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