Back

Deep learning for mortality prediction in patients with a de-novo or worsened heart failure

29 August 2021 (07:51 - 08:00)
Organised by:
Congress Presentation Part of: Cutting-edge clinical investigations in heart failure Epidemiology, Prognosis, Outcome ESC Premium Access ESC Congress 2021 - The Digital Experience

About the speaker

Photo
Doctor Robert Herman

Cardiovascular Research Center Aalst, Aalst (Belgium)

4 More presentations in this session

Presentation thumbnail
Atrial fibrillation impairs dynamic right ventricular-pulmonary artery coupling and increases lung congestion during exercise in heart failure and preserved ejection fraction
Doctor K. Omote (Sapporo, JP)
Abstract Slides Video
Presentation thumbnail
Novel antisense therapy targeting microRNA-132 in patients with heart failure
Doctor J. Taubel (London, GB)
Abstract Slides Video
Presentation thumbnail
Cognitive impairment is a determinant of patient response to disease management programs to reduce readmission in heart failure
Doctor Q. Huynh (Hobart, AU)
Abstract Slides Video
Presentation thumbnail
Cardiovascular death risk in mid-range ejection fraction heart failure: insights from cardiopulmonary exercise test
Doctor G. Gallo (Rome, IT)
Abstract Slides Video

Access the full session

Session thumbnail
Cutting-edge clinical investigations in heart failure

The Event

Event poster

ESC Congress 2021 - The Digital Experience

29 August 2021 07:51 CET
You may be interested in
thumbnail
Congress Presentation
Electrocardiogram-based artificial intelligence to predict incident heart failure risk
thumbnail
Congress Presentation
Artificial intelligence improved accuracy to predict clinical outcomes in acute decompensated heart failure with reduced ejection fraction and diabetes
thumbnail
Congress Presentation
The impact of artificial intelligence-driven risk prediction on clinical decisions in heart failure patients: the design of an international vignette study

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources