Training and clinical testing of artificial intelligence derived right atrial cardiovascular magneti...
Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements
About this item
Full title
Author / Creator
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 and Swift, Andrew J
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
Right atrial (RA) area predicts mortality in patients with pulmonary hypertension, and is recommended by the European Society of Cardiology/European Respiratory Society pulmonary hypertension guidelines. The advent of deep learning may allow more reliable measurement of RA areas to improve clinical assessments. The aim of this study was to automate...
Alternative Titles
Full title
Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements
Authors, Artists and Contributors
Author / Creator
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
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e2e52a6925494df0ae9fd3b81f478485
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e2e52a6925494df0ae9fd3b81f478485
Other Identifiers
ISSN
1097-6647
E-ISSN
1532-429X
DOI
10.1186/s12968-022-00855-3
