Deep learning evaluation of echocardiograms to identify occult atrial fibrillation
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Deep learning evaluation of echocardiograms to identify occult atrial fibrillation ; volume:7 ; number:1 ; day:13 ; month:4 ; year:2024 ; pages:1-8 ; date:12.2024
npj digital medicine ; 7, Heft 1 (13.4.2024), 1-8, 12.2024
- Urheber
-
Yuan, Neal
Stein, Nathan R.
Duffy, Grant
Sandhu, Roopinder K.
Chugh, Sumeet S.
Chen, Peng-Sheng
Rosenberg, Carine
Albert, Christine M.
Cheng, Susan
Siegel, Robert J.
Ouyang, David
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41746-024-01090-z
- URN
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urn:nbn:de:101:1-2406262111040.082500783517
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:53 MESZ
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Beteiligte
- Yuan, Neal
- Stein, Nathan R.
- Duffy, Grant
- Sandhu, Roopinder K.
- Chugh, Sumeet S.
- Chen, Peng-Sheng
- Rosenberg, Carine
- Albert, Christine M.
- Cheng, Susan
- Siegel, Robert J.
- Ouyang, David
- SpringerLink (Online service)
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Echocardiographic and electrocardiographic determinants of atrial cardiomyopathy identify patients with atrial fibrillation at risk for left atrial thrombogenesis
MR-imaging pattern is not a predictor of occult atrial fibrillation in patients with cryptogenic stroke
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Echocardiographic and electrocardiographic determinants of atrial cardiomyopathy identify patients with atrial fibrillation at risk for left atrial thrombogenesis
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