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: | , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2024
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| 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
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| Verfasserangaben: | Arda Özyüksel, Janek Salatzki and Henning Steen |
| Zusammenfassung: | 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. |
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| Beschreibung: | Online veröffentlicht: 30 September 2024 Gesehen am 26.02.2025 |
| Beschreibung: | Online Resource |
| ISSN: | 1467-1107 |
| DOI: | 10.1017/S1047951124026209 |