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Application of machine learning to identify top determinants of fibrofatty plaque burden by CCTA in humans with psoriasis

Session: New horizons in plaque imaging
Topic: Plaque Imaging
Speaker: Doctor N. Mehta (Washington, DC, US)
Event: ESC Congress 2022

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Doctor Nehal Mehta

George Washington University, Washington, DC (United States of America)
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6 more presentations in this session

Automatic quantification of plaque progression dynamics as assessed by serial coronary computed tomography angiography using scan-quality-based vessel specific thresholds.

Speaker: Doctor F. Van Driest (Leiden, NL)

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Cardiometabolic predictors of quantitative high-risk plaque features in a diverse patient population

Speaker: Doctor J. Arce (Bronx, US)

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Identification of non-calcified coronary plaque characteristics using machine learning radiomic analysis of non-contrast high-resolution CT

Speaker: Doctor M. Kruk (Warsaw, PL)

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Artificial intelligence-enabled comprehensive coronary phenotyping in patients with suspected CAD

Speaker: Doctor J. Viegas (Lisbon, PT)

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Radiomics-based analysis by machine learning techniques improves characterization of functionally significant coronary lesions

Speaker: Mr G. Kalykakis (Athens, GR)

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Access the full session

New horizons in plaque imaging

Speakers: Doctor N. Mehta, Doctor F. Van Driest, Doctor J. Arce, Doctor M. Kruk, Doctor J. Viegas...
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About the event

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ESC Congress 2022

26 August - 29 August 2022

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