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

• Главные авторы: Sang Wouk Cho (Автор), Seungjin Baek (Автор), Sookyeong Han (Автор), Chang Oh Kim (Автор), Hyeon Chang Kim (Автор), Yumie Rhee (Автор), Namki Hong (Автор)
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• Опубликовано: Wiley, 2024-08-01T00:00:00Z.
• Предметы: article
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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...