TY  - JOUR 
AU  - García Herreros, Sergio
AU  - López Gómez, Juan José
AU  - Cebria, Ángela
AU  - Izaola Jauregui, Olatz
AU  - Salvador Coloma, Pablo
AU  - Nozal, Sara
AU  - Cano, Jesús
AU  - Primo Martín, David
AU  - Godoy, Eduardo Jorge
AU  - Luis Román, Daniel Antonio de
PY  - 2024
UR  - https://uvadoc.uva.es/handle/10324/73691
AB  - The aim was to validate an AI-based system compared to the classic method
of reading ultrasound images of the rectus femur (RF) muscle in a real cohort of patients with diseaserelated
malnutrition. (2) Methods: One hundred adult patients with DRM...
LA  - eng
PB  - MDPI
KW  - artificial intelligence
KW  - disease-related malnutrition
KW  - muscle architecture parameters
KW  - reproducibility
KW  - reliability
KW  - ultrasound imaging
TI  - Validation of an artificial intelligence-based ultrasound imaging system for quantifying muscle architecture parameters of the rectus femoris in disease-related malnutrition (DRM)
DO  - 10.3390/nu16121806
ER  -