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

Vectorcardiography coronary circulation coronary stenosis coronary vessel anomalies machine learning

Journal

Cardiology in the young
ISSN: 1467-1107
Titre abrégé: Cardiol Young
Pays: England
ID NLM: 9200019

Informations de publication

Date de publication:
30 Sep 2024
Historique:
medline: 30 9 2024
pubmed: 30 9 2024
entrez: 30 9 2024
Statut: aheadofprint

Résumé

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.

Identifiants

pubmed: 39344188
pii: S1047951124026209
doi: 10.1017/S1047951124026209
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-3

Auteurs

Arda Özyüksel (A)

Department of Cardiovascular Surgery, Biruni University, Istanbul, Turkey.
Department of Cardiovascular Surgery, Kolan Health Group, Istanbul, Turkey.

Janek Salatzki (J)

Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Baden-Württemberg, Germany.

Henning Steen (H)

Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Baden-Württemberg, Germany.
Department of Cardiovascular MRI and CT, University of Heidelberg, Heidelberg, Baden-Württemberg, Germany.

Classifications MeSH