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

IF 0.9 4区 医学 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS
Arda Özyüksel, Janek Salatzki, Henning Steen
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引用次数: 0

Abstract

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.

人工智能监督向量心电图用于诊断一名右冠状动脉源于主动脉异常的年轻成人。
冠状动脉异常发生率为人口的 0.2% 至 1.2%,其中冠状动脉主动脉起源异常占三分之一。临床表现可从无症状到出现心脏症状和猝死,因此诊断具有挑战性。在本报告中,我们介绍了一种新颖的人工智能监督矢量心电图分析方法,以及随后对一名年轻患者的成功手术治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cardiology in the Young
Cardiology in the Young 医学-小儿科
CiteScore
1.70
自引率
10.00%
发文量
715
审稿时长
4-8 weeks
期刊介绍: Cardiology in the Young is devoted to cardiovascular issues affecting the young, and the older patient suffering the sequels of congenital heart disease, or other cardiac diseases acquired in childhood. The journal serves the interests of all professionals concerned with these topics. By design, the journal is international and multidisciplinary in its approach, and members of the editorial board take an active role in the its mission, helping to make it the essential journal in paediatric cardiology. All aspects of paediatric cardiology are covered within the journal. The content includes original articles, brief reports, editorials, reviews, and papers devoted to continuing professional development.
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