ESC 365 - Machine-learning score using CCTA and stress CMR for prediction of cardiovascular events in patients with obstructive CAD

ESC Professional Premium Access

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

Session: Coronary plaque characterisation: from proteomics to artificial intelligence

Topic: Imaging of Coronary Artery Disease

Speaker: Doctor T. Pezel (Paris, FR)

Event: ESC Congress 2023

Congress Presentation

Add to my library

About the speaker

Doctor Theo Pezel

Hospital Lariboisiere, Paris (France)

9 presentations

5 followers

4 more presentations in this session

Comparison of plaque characteristics among different age groups in patients with acute coronary syndromes with or without diabetes

Speaker: Doctor K. Suzuki (Boston, US)

Neovascularization restructuring patterns in diabetic patients with coronary in stent restenosis an in-vivo optical coherence tomography study

Speaker: Doctor Y. Zhang (Beijing, CN)

Utility of fractional flow reserve computed tomography angiography in patients with stable coronary artery disease

Speaker: Doctor Y. Liu (Stony Brook, US)

Proteomics associated with coronary high-risk plaque features on optical coherence tomography

Speaker: Doctor T. Niida (Boston, US)

Access the full session

Coronary plaque characterisation: from proteomics to artificial intelligence

Speakers: Doctor T. Pezel, Doctor K. Suzuki, Doctor Y. Zhang, Doctor Y. Liu, Doctor T. Niida

About the event

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources