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Incremental prognostic value of fully-automatic LVEF by stress CMR using machine learning

Topic: Stress Cardiac Magnetic Resonance (CMR)

Congress Presentation

About the speaker

Doctor Theo Pezel

Hospital Lariboisiere, Paris (France)
8 presentations
7 followers

5 more presentations in this session

Characterisation of responder profiles for cardiac resynchronisation therapy based on explainable machine-learning and virtual patient approaches

Speaker: Miss M. Taconne (Rennes, FR)

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Use of an echocardiographic-based, artificial intelligence system to improve racial disparities in care of patients with valvular heart disease

Speaker: Doctor G. Horde (Birmingham, US)

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A deep learning approach to predict myocardial fibrosis in early contrast-enhanced CCT images

Speaker: Doctor M. Carerj (Milan, IT)

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External validation of a deep learning algorithm for automated echocardiographic strain measurements

Speaker: Doctor Y. Hummel (Groningen, NL)

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Echocardiographic assessment with explainable artificial intelligence for the classification of pulmonary hypertension - Japanese Society of Echocardiography Young Investigator Award winner

Speaker: Mrs Y. Hirata (Tokushima, JP)

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Access the full session

Implementing Artificial intelligence into my clinical practice

Speakers: Doctor T. Pezel, Miss M. Taconne, Doctor G. Horde, Doctor M. Carerj, Doctor Y. Hummel...
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About the event

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EACVI 2023

10 May - 12 May 2023

Sessions Presentations