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

    Publicado 2025-08-01

    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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