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Backgrounds Sarcopenia is associated with higher mortality and morbidity in emergency laparotomies. Sarcopenia is traditionally measured with single 2D axial computed tomography (CT) slice at the L3 level, which is time-consuming and provide limited data. This study aims to determine if sarcopenia, measured using Artificial intelligence (AI) 3D-derived body composition (BC), can predict adverse outcomes after emergency abdominal surgery.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
