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

10 May 2023 (12:21 - 12:30)
Organised by:
Congress Presentation Part of: Implementing Artificial intelligence into my clinical practice European Association of Cardiovascular Imaging (EACVI) EACVI Premium Access EACVI 2023

About the speaker

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Mrs Yukina Hirata

Tokushima University Hospital, Tokushima (Japan)

5 More presentations in this session

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Characterisation of responder profiles for cardiac resynchronisation therapy based on explainable machine-learning and virtual patient approaches
Miss M. Taconne (Milan, IT)
Abstract Slides Video
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Use of an echocardiographic-based, artificial intelligence system to improve racial disparities in care of patients with valvular heart disease
Doctor G. Horde (Birmingham, US)
Abstract Slides Video
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Incremental prognostic value of fully-automatic LVEF by stress CMR using machine learning
Doctor T. Pezel (Paris, FR)
Abstract Slides Video
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A deep learning approach to predict myocardial fibrosis in early contrast-enhanced CCT images
Doctor M. Carerj (Milan, IT)
Abstract Slides Video
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External validation of a deep learning algorithm for automated echocardiographic strain measurements
Doctor Y. Hummel (Groningen, NL)
Abstract Slides Video

Access the full session

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Implementing Artificial intelligence into my clinical practice
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The Event

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EACVI 2023

10 May 2023 12:21 CET
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ESC 365 is supported by

novartis Explore sponsored resources