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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset

Fig. 1

Study design and study workflow. The AI ​​model used abdominal CT to develop a classification and segmentation model, and a prediction model was developed based on this. The validation was performed by building a dataset not used for learning. Finally, the quantitatively analyzed results were automatically calculated statistically, and the T-Score, age-specific SMA analysis results, and prevalence rates were developed into a user-friendly web-based platform

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