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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:EBioMedicine
Subjects:
Aortic stenosis
Artificial intelligence
Echocardiography
Diagnostic accuracy
Prognostic value
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396425000040
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