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Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements

Crossref DOI link: https://doi.org/10.1186/s12968-022-00855-3

Published Print: 2022-01

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Alandejani, Faisal

Alabed, Samer

Garg, Pankaj

Goh, Ze Ming

Karunasaagarar, Kavita

Sharkey, Michael

Salehi, Mahan

Aldabbagh, Ziad

Dwivedi, Krit

Mamalakis, Michail

Metherall, Pete

Uthoff, Johanna

Johns, Chris

Rothman, Alexander

Condliffe, Robin

Hameed, Abdul

Charalampoplous, Athanasios

Lu, Haiping

Plein, Sven

Greenwood, John P.

Lawrie, Allan

Wild, Jim M.

de Koning, Patrick J.H.

Kiely, David G.

Van Der Geest, Rob

Swift, Andrew J. http://orcid.org/0000-0002-8772-409X
Funding

Funding for this research was provided by:

Wellcome Trust (205188/Z/16/Z)

NIHR AI Award (AI_AWARD01706)
License Information

Text and Data Mining valid from 2022-01-01

Text and Data Mining valid from 2022-01-01

Version of Record valid from 2022-04-07
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This article is maintained by: Elsevier

Article Title: Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements

Journal Title: Journal of Cardiovascular Magnetic Resonance

CrossRef DOI link to publisher maintained version: https://doi.org/10.1186/s12968-022-00855-3

Content Type: article

Copyright: Copyright © 2022 THE AUTHORS. Published by Elsevier Inc on behalf of the Society for Cardiovascular Magnetic Resonance