ESC 365 - Machine-learning score using stress CMR for death prediction in patients with suspected or known CAD

EACVI Premium Access

Machine-learning score using stress CMR for death prediction in patients with suspected or known CAD

Session: Young Investigator Award - Clinical Science

Topic: Cross-Modality and Multi-Modality Imaging Topics, Other

Speaker: Doctor T. Pezel (Paris, FR)

Event: EuroEcho 2021

Congress Presentation

Add to my library

About the speaker

Doctor Theo Pezel

Hospital Lariboisiere, Paris (France)

9 presentations

5 followers

3 more presentations in this session

Accuracy and reliability of left atrial appendage morphology assessment by new 3D transesophageal echocardiographic rendering modalities: a comparative study with computed tomography

Speaker: Doctor G. Fiore (Milan, IT)

Disease progression rate is a strong predictor of ventricular arrhythmias in patients with cardiac laminopathy in a prospective cohort study

Speaker: Doctor C. Rootwelt-Norberg (Oslo, NO)

Pulmonary artery pulsatility index by echocardiography predicts mortality in patients with pulmonary hypertension

Speaker: Mr C. Kane (Rochester, US)

Access the full session

Young Investigator Award - Clinical Science

Speakers: Doctor T. Pezel, Doctor G. Fiore, Doctor C. Rootwelt-Norberg, Mr C. Kane

About the event

EuroEcho 2021

9 December - 11 December 2021

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources