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

5 December 2019 (14:40 - 14:49)
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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

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Mr Erik Andreas Rye Berg

St Olavs Hospital (Trondheim university hospital), Trondheim (Norway)

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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
Doctor A. Hubert (Rennes, FR)
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Assessment of left ventricular ejection fraction from echocardiographic images using machine learning algorithm
Ms N. Yamaguchi (Tokushima, JP)
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Turning novices into experts: can artificial intelligence transform echocardiography training?
Doctor M. De Craene (Suresnes, FR)
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Non-invasive risk assessment of the left atrial appendage thrombosis using deep learning methods
Mr A. Suvorov (Moscow, RU)
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Artificial intelligence, deep-learning, 3D printing...what is the future of imaging?

The Event

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EuroEcho 2019

5 December 2019 14:40 CET
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