dc.contributor.author | Karatzia, L | en_US |
dc.contributor.author | Aung, N | en_US |
dc.contributor.author | Aksentijevic, D | en_US |
dc.date.accessioned | 2022-12-12T15:49:10Z | |
dc.date.available | 2022-09-09 | en_US |
dc.date.issued | 2022 | en_US |
dc.identifier.issn | 2297-055X | en_US |
dc.identifier.other | ARTN 945726 | |
dc.identifier.other | ARTN 945726 | |
dc.identifier.other | ARTN 945726 | en_US |
dc.identifier.other | ARTN 945726 | en_US |
dc.identifier.other | ARTN 945726 | en_US |
dc.identifier.other | ARTN 945726 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/83088 | |
dc.relation.ispartof | FRONTIERS IN CARDIOVASCULAR MEDICINE | en_US |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.subject | artificial intelligence | en_US |
dc.subject | cardiology | en_US |
dc.subject | machine learning | en_US |
dc.subject | cardiac imaging | en_US |
dc.subject | cardiac MR (CMR) | en_US |
dc.subject | cardiovascular diagnostic | en_US |
dc.title | Artificial intelligence in cardiology: Hope for the future and power for the present | en_US |
dc.type | Article | |
dc.identifier.doi | 10.3389/fcvm.2022.945726 | en_US |
pubs.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000875828300001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 9 | en_US |
qmul.funder | Immunometabolic cross-talk in the inflamed diabetic heart::Wellcome Trust | en_US |