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

Alandejani, F., Alabed, S. orcid.org/0000-0002-9960-7587, Garg, P. et al. (22 more authors) (2022) Training and clinical validation of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements. In: American Journal of Respiratory and Critical Care Medicine. American Thoracic Society 2022 International Conference, May 13-18, 2022 - San Francisco, CA, 13-18 May 2022, American Thoracic Society 2022 International Conference. American Thoracic Society , a2285-a2285.

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 American Thoracic Society.
Keywords: Good Health and Well Being
Dates:
  • Published (online): 2 May 2022
  • Published: May 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > The Medical School (Sheffield) > Academic Unit of Medical Education (Sheffield)
The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
WELLCOME TRUST (THE)206632/Z/17/Z
WELLCOME TRUST (THE)205188/Z/16/Z
MEDICAL RESEARCH COUNCILMR/M008894/1
Depositing User: Symplectic Sheffield
Date Deposited: 07 Sep 2023 15:14
Last Modified: 07 Sep 2023 15:14
Status: Published
Publisher: American Thoracic Society
Refereed: Yes
Identification Number: https://doi.org/10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a2285
Related URLs:

Download not available

A full text copy of this item is not currently available from White Rose Research Online

Export

Statistics