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

Alandejani, F., Alabed, S. orcid.org/0000-0002-9960-7587, Garg, P. et al. (23 more authors) (2022) Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements. Journal of Cardiovascular Magnetic Resonance, 24 (1). 25.

Abstract

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Copyright, Publisher and Additional Information: © 2022 The Author(s). Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Keywords: Right atrial area; Cardiovascular magnetic resonance; Convolutional neural networks; Artificial intelligence; Deep learning training; Clinical testing; Repeatability assessment; Mortality prediction
Dates:
  • Accepted: 19 March 2022
  • Published (online): 7 April 2022
  • Published: 7 April 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine (Sheffield) > Academic Unit of Medical Education (Sheffield)
The University of Sheffield > Sheffield Teaching Hospitals
Funding Information:
FunderGrant number
The Wellcome Trust205188/Z/16/Z
National Institute for Health ResearchNIHRDH-AI_AWARD01706
Depositing User: Symplectic Sheffield
Date Deposited: 29 Apr 2022 09:34
Last Modified: 30 Apr 2022 23:03
Status: Published
Publisher: BioMed Central
Refereed: Yes
Identification Number: https://doi.org/10.1186/s12968-022-00855-3
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