ESC 365 - Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium and epicardial adipose tissue: a prospective study

ESC Premium Access

Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium and epicardial adipose tissue: a prospective study

Session: Improving the efficiency of advanced cardiac imaging

Topic: Coronary Calcium

Speaker: Doctor D. Dey (Los Angeles, US)

Event: ESC Congress 2019

Congress Presentation

Add to my library

About the speaker

Doctor Damini Dey

Cedars-Sinai Medical Centre, Los Angeles (United States of America)

3 presentations

0 follower

4 more presentations in this session

State of the Art - Improving the effeciency of advanced cardiac imaging

Speaker: Professor J. Moon (London, GB)

Impact of non-invasive rapid cardiac magnetic resonance for the assessment of cardiomyopathies in developing countries

Speaker: Miss K. Menacho Medina (London, GB)

Prognostic safety of automatic cancellation of rest myocardial perfusion scan by machine learning: a report from multicenter REFINE SPECT registry of new generation SPECT

Speaker: Doctor L. Hu (Los Angeles, US)

Latest advances in cardiac imaging

Speaker: Professor D. Newby (Edinburgh, GB)

Access the full session

Improving the efficiency of advanced cardiac imaging

Speakers: Doctor D. Dey, Professor J. Moon, Miss K. Menacho Medina, Doctor L. Hu, Professor D. Newby

About the event

ESC Congress 2019

31 August - 4 September 2019

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources