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Machine-learning score using CCTA and stress CMR for prediction of cardiovascular events in patients with obstructive CAD

27 August 2023 (14:09 - 14:18)
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Congress Presentation Part of: Coronary plaque characterisation: from proteomics to artificial intelligence Imaging of Coronary Artery Disease ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

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Doctor Theo Pezel

Lariboisiere APHP Site of Saint Louis University Hospital, Paris (France)

4 More presentations in this session

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Comparison of plaque characteristics among different age groups in patients with acute coronary syndromes with or without diabetes
Doctor K. Suzuki (Boston, US)
Abstract Slides Video
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Neovascularization restructuring patterns in diabetic patients with coronary in stent restenosis an in-vivo optical coherence tomography study
Doctor Y. Zhang (Beijing, CN)
Abstract Slides Video
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Utility of fractional flow reserve computed tomography angiography in patients with stable coronary artery disease
Doctor Y. Liu (Stony Brook, US)
Abstract Slides Video
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Proteomics associated with coronary high-risk plaque features on optical coherence tomography
Doctor T. Niida (Boston, US)
Abstract Slides Video

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Coronary plaque characterisation: from proteomics to artificial intelligence
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The Event

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ESC Congress 2023

27 August 2023 14:09 CET
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ESC 365 is supported by

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