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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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 |
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Format: | Article |
Language: | English |
Published: |
Wiley
2025-02-01
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Series: | Advanced Science |
Subjects: | |
Online Access: | https://doi.org/10.1002/advs.202404755 |
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