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
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