Accuracy of an Artificial Intelligence–Based Model for Estimating Leftover Liquid Food in Hospitals: Validation Study

BACKGROUND: An accurate evaluation of the nutritional status of malnourished hospitalized patients at a higher risk of complications, such as frailty or disability, is crucial. Visual methods of estimating food intake are popular for evaluating the nutritional status in clinical environments. Howeve...

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Detalles Bibliográficos
Autores principales: Tagi, Masato, Tajiri, Mari, Hamada, Yasuhiro, Wakata, Yoshifumi, Shan, Xiao, Ozaki, Kazumi, Kubota, Masanori, Amano, Sosuke, Sakaue, Hiroshi, Suzuki, Yoshiko, Hirose, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131145/
https://www.ncbi.nlm.nih.gov/pubmed/35536638
http://dx.doi.org/10.2196/35991

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131145/
https://www.ncbi.nlm.nih.gov/pubmed/35536638
http://dx.doi.org/10.2196/35991

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