This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (630) Mobile Health (mhealth) (3140) Instruments and Questionnaires for Nutrition and Food Intake (182) Artificial Intelligence (1697) Clinical Informatics (1150) Design of Processes and Workflows (136) New Methods (1028)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55218, first published .
A Food Intake Estimation System Using an Artificial Intelligence–Based Model for Estimating Leftover Hospital Liquid Food in Clinical Environments: Development and Validation Study

A Food Intake Estimation System Using an Artificial Intelligence–Based Model for Estimating Leftover Hospital Liquid Food in Clinical Environments: Development and Validation Study

A Food Intake Estimation System Using an Artificial Intelligence–Based Model for Estimating Leftover Hospital Liquid Food in Clinical Environments: Development and Validation Study

Authors of this article:

Masato Tagi1 Author Orcid Image ;   Yasuhiro Hamada2 Author Orcid Image ;   Xiao Shan3 Author Orcid Image ;   Kazumi Ozaki4 Author Orcid Image ;   Masanori Kubota5 Author Orcid Image ;   Sosuke Amano5 Author Orcid Image ;   Hiroshi Sakaue6, 7 Author Orcid Image ;   Yoshiko Suzuki6 Author Orcid Image ;   Takeshi Konishi1 Author Orcid Image ;   Jun Hirose1 Author Orcid Image
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Journals

  1. Tamamura Y, Hachiuma C, Matsuura M, Shiba S, Nishikimi T. Frailty and Energy Intake Deficiency Reduce the Efficiency of Activities of Daily Living in Patients with Musculoskeletal Disorders: A Retrospective Cohort Study. Nutrients 2025;17(8):1334 View