Back

Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI

1 September 2024 (11:40 - 12:00)
Organised by: Logo
Congress Presentation Part of: Digital tools to inform decisions in aortic stenosis Aortic Valve Stenosis ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

Photo
Professor Benjamin Meder

University Hospital Heidelberg, Heidelberg (Germany)

2 More presentations in this session

Presentation thumbnail
Deep learning to predict progression of aortic stenosis
Assistant Professor E. Oikonomou (New Haven, US)
Slides Video
Presentation thumbnail
TAVI vs. SAVR: a decision model
Professor S. Bleiziffer (Bad Berka, DE)
Slides Video

Access the full session

Session thumbnail
Digital tools to inform decisions in aortic stenosis
Video

The Event

Event poster

ESC Congress 2024

1 September 2024 11:40 CET
You may be interested in
thumbnail
Congress Session
Is artificial intelligence the valvular physician's best friend?
2 September 2024
thumbnail
Congress Presentation
Preprocedural computed tomography angiography for prediction of transcatheter aortic valve implantation outcomes. A machine learning study.
25 August 2023
thumbnail
Congress Session
Cardiology Toolbox - AI for advancing clinical practice
30 August 2025
thumbnail
Congress Presentation
Will artificial intelligence replace the Heart Team?
27 August 2023

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