AI-powered multimodal modeling of personalized hemodynamics in aortic stenosis

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 workflows necessi...

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Veröffentlicht in:	arXiv.org 2024-06
Hauptverfasser:	Ozturk, Caglar, Pak, Daniel H, Rosalia, Luca, Goswami, Debkalpa, Robakowski, Mary E, McKay, Raymond, Nguyen, Christopher T, Duncan, James S, Roche, Ellen T
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Aorta Biomechanics Computed tomography Customization Fluid-structure interaction Health services Heart diseases Hemodynamics Modelling Robotics
Online-Zugang:	Volltext
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