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

Topic: In-Silico Medicine and Virtual Physiologic Patient

Congress Presentation

About the speaker

Miss Marion Taconne

Hospital Pontchaillou of Rennes, Rennes (France)
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5 more presentations in this session

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)


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

Speaker: Doctor T. Pezel (Paris, FR)


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

Speaker: Doctor M. Carerj (Milan, IT)


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

Speaker: Doctor Y. Hummel (Groningen, NL)


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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Implementing Artificial intelligence into my clinical practice

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

About the event


EACVI 2023

10 May - 12 May 2023

Sessions Presentations

ESC 365 is supported by

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