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Added: 2 months ago Source:  Radcliffe Cardiology
An artificial intelligence (AI) algorithm can identify high-risk coronary plaques on optical coherence tomography (OCT) images and predict adverse outcomes, according to findings from the PECTUS-AI study.¹ The research suggests that AI-assisted analysis of the entire imaged vessel provides superior prognostic value compared to manual analysis of a target lesion alone.Coronary thin-cap… View more
Added: 7 months ago Source:  Radcliffe Cardiology
AUTHOR: Sean DelaneyA greater number of traditional cardiovascular risk factors is strongly associated with increased coronary plaque vulnerability in patients with acute coronary syndrome (ACS), particularly in culprit lesions, according to a new analysis published in JACC.¹ The study provides a direct morphological link between the cumulative burden of risk factors and the high-risk plaque… View more