Back

Machine-learning based exploration of echocardiographic patterns and clinical parameters to understand their relation to death or transplant in pediatric dilated cardiomyopathy

5 December 2019 (15:05 - 15:13)
Organised by:
Congress Presentation Part of: Artificial intelligence, deep-learning, 3D printing...what is the future of imaging? Technology EACVI Premium Access EuroEcho 2019

About the speaker

Photo
Mr Sergio Sanchez

Institute of Biomedical Research August Pi Sunyer (IDIBAPS), Barcelona (Spain)

9 More presentations in this session

Presentation thumbnail
Panel of experts:.
Presentation thumbnail
Optimized multiparametric analysis of cardiac dyssynchrony: machine learning and prediction of response to cardiac resynchronization therapy based of the apical 4-chamber view
Doctor A. Hubert (Rennes, FR)
Abstract Slides Video
Presentation thumbnail
Assessment of left ventricular ejection fraction from echocardiographic images using machine learning algorithm
Ms N. Yamaguchi (Tokushima, JP)
Abstract Slides Video
Presentation thumbnail
Turning novices into experts: can artificial intelligence transform echocardiography training?
Doctor M. De Craene (Suresnes, FR)
Abstract Slides Video
Presentation thumbnail
Non-invasive risk assessment of the left atrial appendage thrombosis using deep learning methods
Mr A. Suvorov (Moscow, RU)
Abstract Slides Video

Access the full session

Session thumbnail
Artificial intelligence, deep-learning, 3D printing...what is the future of imaging?

The Event

Event poster

EuroEcho 2019

5 December 2019 15:05 CET
You may be interested in
thumbnail
Congress Session
Recent advances in clinical practice guidelines: what the imager needs to know and apply - Part 2
thumbnail
Congress Session
Challenging the standard workflow in cardiology imaging​
thumbnail
Congress Presentation
Complete AI-enabled echocardiography interpretation with multitask deep learning

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources