Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/32267
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dc.contributor.authorTeh, Andrew W-
dc.contributor.authorDörr, Marcus-
dc.date.accessioned2023-03-08T01:06:39Z-
dc.date.available2023-03-08T01:06:39Z-
dc.date.issued2023-02-
dc.identifier.citationJACC. Clinical Electrophysiology 2023; 9(2)en_US
dc.identifier.issn2405-5018-
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/32267-
dc.language.isoeng-
dc.subjectatrial fibrillationen_US
dc.subjectdigital healthen_US
dc.subjectintelligent electrocardiogramen_US
dc.subjectsmartwatchen_US
dc.titleSmart Devices in Detecting AF: Excellent Signal Quality, But AI Can Still Learn From Clinicians.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleJACC. Clinical Electrophysiologyen_US
dc.identifier.affiliationDepartment of Cardiology, Monash University, Eastern Health Clinical School, Victoria, Australia.en_US
dc.identifier.affiliationDepartment of Internal Medicine B, Cardiology, Angiology & Pneumology, University Medicine of Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany.en_US
dc.identifier.affiliationCardiologyen_US
dc.identifier.affiliationUniversity of Melbourne Clinical Schoolen_US
dc.identifier.doi10.1016/j.jacep.2022.10.036en_US
dc.type.contentTexten_US
dc.identifier.pubmedid36858691-
dc.description.volume9-
dc.description.issue2-
dc.description.startpage243-
dc.description.endpage245-
local.name.researcherTeh, Andrew W
item.grantfulltextnone-
item.openairetypeJournal Article-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.deptCardiology-
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