Metabolic phenotyping with computed tomography deep learning for metabolic syndrome, osteoporosis and sarcopenia predicts mortality in adults

• Main Authors: Sang Wouk Cho (Author), Seungjin Baek (Author), Sookyeong Han (Author), Chang Oh Kim (Author), Hyeon Chang Kim (Author), Yumie Rhee (Author), Namki Hong (Author)
• Format: Book
• Published: Wiley, 2024-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Computed tomography (CT) body compositions reflect age‐related metabolic derangements. We aimed to develop a multi‐outcome deep learning model using CT multi‐level body composition parameters to detect metabolic syndrome (MS), osteoporosis and sarcopenia by identifying metabolic...