Odiasp, an artificial intelligence tool for the diagnosis of sarcopenia via CT imaging - Université Grenoble Alpes
Article Dans Une Revue Clinical Nutrition ESPEN Année : 2023

Odiasp, an artificial intelligence tool for the diagnosis of sarcopenia via CT imaging

Résumé

The project “Optimization of the Diagnosis of SarcoPenia (ODIASP)” aims to facilitate the diagnosis of sarcopenia through the automated calculation of a skeletal muscle index (SMI) in CT imaging. The objective of this study was to develop and validate an interface for the automatic calculation of the SMI.

Dates et versions

hal-04502001 , version 1 (13-03-2024)

Identifiants

Citer

K. Charrière, C. Dumont, J. Giai, A. Vilotitch, S. Artemova, et al.. Odiasp, an artificial intelligence tool for the diagnosis of sarcopenia via CT imaging. Clinical Nutrition ESPEN, 2023, 58, pp.427. ⟨10.1016/j.clnesp.2023.09.016⟩. ⟨hal-04502001⟩

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