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Cover photo for Caristo's Symposium at SCCT Symposium

The future of comprehensive cardiovascular risk prediction using CCTA | SCCT Edinburgh 2023

Dr. Nik Sabharwal, Prof. Ronak Rajani and Dr. Alain Tavildari discuss the future of cardiovascular risk prediction and inflammation as…

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Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk Prediction

Automated assessment of Epicardial adipose tissue (EAT) volume is possible in CCTA, including in patients who are technically challenging; it…

How can artificial intelligence be used to improve cardiovascular care?

BHF-funded researchers are paving the way towards future breakthroughs in heart disease research. Here are 5 big questions we’re helping…

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Using artificial intelligence to study atherosclerosis, predict risk and guide treatments in clinical practice

The AI-assisted analysis of CT imaging data can revolutionize CVD prevention; the integration of patient’s risk factor profile, quantitative metrics…

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Inflammation as a new target in CV risk reduction

“Lowering LCL-c is the first, second and third thing we have to do to lower atherosclerotic event rates, but what…

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Pericoronary fat attenuation index—a new imaging biomarker and its diagnostic and prognostic utility: a systematic review and meta-analysis

Pericoronary fat attenuation index (FAI) on coronary computed tomography angiography imaging has been proposed as a novel marker of coronary…

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Constructing Custom-made Radiotranscriptomic Signatures of Vascular Inflammation from Routine CT Angiograms: A Prospective Outcomes study in COVID-19

Direct evaluation of vascular inflammation in patients with COVID-19 would facilitate more efficient trials of new treatments and identify patients…

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SCCT Symposium : Visualising Coronary Inflammation in CCTA: The Next Frontier for Cardiovascular Risk Prediction

Coronary Inflammation and Cardiovascular Disease Prevention View here

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