ESC Professional Premium Access

Machine learning to optimise use of cardiac troponin in the diagnosis of acute myocardial infarction

Congress Session

About the speaker

Doctor Dimitrios Doudesis

University of Edinburgh, Edinburgh (United Kingdom of Great Britain & Northern Ireland)
0 follower

8 more presentations in this session

Patients with known coronary artery disease who are ruled out for acute myocardial infarction using a high sensitivity troponin T 0/1-hour algorithm have increased 30-day major adverse cardiac events

Speaker: Professor R. Nowak (Detroit, US)

Thumbnail

VEGF beta is a candidate biomarker for cardiovascular risk stratification

Speaker: Doctor C. Schulte (Hamburg, DE)

Thumbnail

Differences in circulating cardiac troponin I and T in acute and chronic cardiac disease

Speaker: Doctor T. Zimmermann (Basel, CH)

Thumbnail

Growth differentiation factor 15 at 3 months after an acute chest pain admission is associated with increased risk of death and cardiovascular events

Speaker: Doctor G. Myrmel (Bergen, NO)

Thumbnail

Direct comparison of very early AMI rule-out algorithms

Speaker: Doctor C. Pedersen (Aarhus, DK)

Thumbnail

Access the full session

Biomarkers and more

Speakers: Doctor D. Doudesis, Professor R. Nowak, Doctor C. Schulte, Doctor T. Zimmermann, Doctor G. Myrmel...
Thumbnail

About the event

Image

ESC Congress 2022

26 August - 29 August 2022

Sessions Presentations

This platform is supported by

logo Novo Nordisk