ESC 365 - Echocardiographic assessment with explainable artificial intelligence for the classification of pulmonary hypertension - Japanese Society of Echocardiography Young Investigator Award winner

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

Session: Implementing Artificial intelligence into my clinical practice

Topic: European Association of Cardiovascular Imaging (EACVI)

Speaker: Mrs Y. Hirata (Tokushima, JP)

Event: EACVI 2023

Congress Presentation

About the speaker

Mrs Yukina Hirata

Tokushima University Hospital, Tokushima (Japan)

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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)

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)

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Implementing Artificial intelligence into my clinical practice

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

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About the event

EACVI 2023

10 May - 12 May 2023

Sessions Presentations

Congress

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

About the speaker

Mrs Yukina Hirata

5 more presentations in this session

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

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

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

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

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

Access the full session

Implementing Artificial intelligence into my clinical practice

About the event

EACVI 2023

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