EACVI Premium Access

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

Topic: European Association of Cardiovascular Imaging (EACVI)

Congress Presentation

About the speaker

Mrs Yukina Hirata

Tokushima University Hospital, Tokushima (Japan)
1 presentation
0 follower

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)

Thumbnail

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)

Thumbnail

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

Speaker: Doctor T. Pezel (Paris, FR)

Thumbnail

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

Speaker: Doctor M. Carerj (Milan, IT)

Thumbnail

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

Speaker: Doctor Y. Hummel (Groningen, NL)

Thumbnail

Access the full session

Implementing Artificial intelligence into my clinical practice

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

About the event

Image

EACVI 2023

10 May - 12 May 2023

Sessions Presentations