Artificial intelligence-based machine learning protocols enable quicker assessment of aortic biomechanics: A case study

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Artificial intelligence-based machine learning protocols enable quicker assessment of aortic biomechanics: A case study

Analyzing aortic biomechanical wall stresses for abdominal aortic aneurysms remains challenging. Clinical applications of biomechanical and morphological image-based analysis protocols have limited adoption owing to the time and expertise required. Our multidisciplinary and multi-institute team has...

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Bibliographic Details
Main Authors:	Pete H. Gueldner, BS, Katherine E. Kerr, BSBME, Nathan Liang, MD, Timothy K. Chung, PhD, Tiziano Tallarita, MD, Joe Wildenberg, MD, Jason Beckermann, MD, David A. Vorp, PhD, Indrani Sen, MD
Format:	Article
Language:	English
Published:	Elsevier 2025-08-01
Series:	Journal of Vascular Surgery Cases and Innovative Techniques
Subjects:	Juxtarenal aneurysm Biomechanics Wall stress Fenestrated repair
Online Access:	http://www.sciencedirect.com/science/article/pii/S2468428725000887
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