Artificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiographyResearch in context

Summary: Background: Transthoracic echocardiography (TTE) is the primary modality for diagnosing aortic stenosis (AS), yet it requires skilled operators and can be resource-intensive. We developed and validated an artificial intelligence (AI)-based system for evaluating AS that is effective in both...

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Главные авторы:	Jiesuck Park, Jiyeon Kim, Jaeik Jeon, Yeonyee E. Yoon, Yeonggul Jang, Hyunseok Jeong, Youngtaek Hong, Seung-Ah Lee, Hong-Mi Choi, In-Chang Hwang, Goo-Yeong Cho, Hyuk-Jae Chang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Elsevier 2025-02-01
Серии:	EBioMedicine
Предметы:	Aortic stenosis Artificial intelligence Echocardiography Diagnostic accuracy Prognostic value
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S2352396425000040
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