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Artificial intelligence-supervised vectorcardiography for the diagnosis of a young adult with abnormal origin of the right coronary artery from aorta

Coronary anomalies occur in 0.2% to 1.2% of the population, with the anomalous aortic origin of the coronary arteries accounting for one third of these cases. Clinical presentations can vary from asymptomatic to experiencing cardiac symptoms and sudden death, making diagnosis challenging. In this re...

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Hauptverfasser: Özyüksel, Arda (VerfasserIn) , Salatzki, Janek (VerfasserIn) , Steen, Henning (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 2024
In: Cardiology in the young
Year: 2024, Jahrgang: 34, Heft: 9, Pages: 2049-2051
ISSN:1467-1107
DOI:10.1017/S1047951124026209
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1017/S1047951124026209
Volltext
Verfasserangaben:Arda Özyüksel, Janek Salatzki and Henning Steen

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520 |a Coronary anomalies occur in 0.2% to 1.2% of the population, with the anomalous aortic origin of the coronary arteries accounting for one third of these cases. Clinical presentations can vary from asymptomatic to experiencing cardiac symptoms and sudden death, making diagnosis challenging. In this report, we present a novel artificial intelligence-supervised vectorcardiographic analysis and the subsequent successful surgical treatment of a young patient. 
650 4 |a coronary circulation 
650 4 |a coronary stenosis 
650 4 |a coronary vessel anomalies 
650 4 |a machine learning 
650 4 |a Vectorcardiography 
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