AI‐Powered Multimodal Modeling of Personalized Hemodynamics in Aortic Stenosis

Abstract Aortic stenosis (AS) is the most common valvular heart disease in developed countries. High‐fidelity preclinical models can improve AS management by enabling therapeutic innovation, early diagnosis, and tailored treatment planning. However, their use is currently limited by complex workflow...

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Bibliographic Details
Main Authors: Caglar Ozturk, Daniel H. Pak, Luca Rosalia, Debkalpa Goswami, Mary E. Robakowski, Raymond McKay, Christopher T. Nguyen, James S. Duncan, Ellen T. Roche
Format: Article
Language:English
Published: Wiley 2025-02-01
Series:Advanced Science
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Online Access:https://doi.org/10.1002/advs.202404755
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