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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| 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 |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Journal of Vascular Surgery Cases and Innovative Techniques |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468428725000887 |
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