Back

Non-invasive risk assessment of the left atrial appendage thrombosis using deep learning methods

4 December 2019 (00:00 - 00:00)
Organised by:
Congress Presentation Part of: Artificial intelligence, deep-learning, 3D printing...what is the future of imaging? Transoesophageal Echocardiography (TOE) EACVI Premium Access EuroEcho 2019

About the speaker

Photo
Mr Aleksandr Suvorov

Moscow City Hospital No 4, Moscow (Russian Federation)

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
Automated detection of mitral annular plane systolic excursion in transoesophageal echocardiography based on deep learning
Doctor E. Berg (Trondheim, NO)
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

4 December - 7 December 2019
You may be interested in
thumbnail
Congress Presentation
Transoesophageal echocardiogram (TEE): what is the added value?
thumbnail
Congress Presentation
Mitral valve edge to edge repair with transthoracic echo guidance
thumbnail
Congress Presentation
3D intracardiac echocardiography in everyday routine: yes, it is very useful

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources