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Automated detection of mitral annular plane systolic excursion in transoesophageal echocardiography based on deep learning

Congress Presentation

About the speaker

Mr Erik Andreas Rye Berg

St Olavs Hospital (Trondheim university hospital), Trondheim (Norway)
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Panel of experts:.

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Optimized multiparametric analysis of cardiac dyssynchrony: machine learning and prediction of response to cardiac resynchronization therapy based of the apical 4-chamber view

Speaker: Doctor A. Hubert (Rennes, FR)

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Assessment of left ventricular ejection fraction from echocardiographic images using machine learning algorithm

Speaker: Ms N. Yamaguchi (Tokushima, JP)

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Turning novices into experts: can artificial intelligence transform echocardiography training?

Speaker: Doctor M. De Craene (Suresnes, FR)

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

Speaker: Mr A. Suvorov (Moscow, RU)

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Access the full session

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

Speakers: Mr E. Berg, Doctor A. Hubert, Ms N. Yamaguchi, Doctor M. De Craene, Mr A. Suvorov
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About the event

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EuroEcho 2019

4 December - 7 December 2019

Sessions Presentations

ESC 365 is supported by

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