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

Development and Evaluation of Research Methods, Instruments and Tools (744) Mobile Health (mhealth) (3463) Instruments and Questionnaires for Nutrition and Food Intake (211) Artificial Intelligence (2127) Clinical Informatics (1325) Design of Processes and Workflows (187) New Methods (1134)

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
Article Authors Cited by (3) Tweetations Metrics

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  2. Masur L, Driller M, Suppiah H, Matzka M, Sperlich B, Düking P. Assessment of Recommendations Provided to Athletes Regarding Sleep Education by GPT-4o and Google Gemini: Comparative Evaluation Study. JMIR Formative Research 2025;9:e71358 View
  3. Paulus M, Kouw I, van Beek-Westeneng N, de Leeuw I, van Lingen E, Holverda M, Strookappe B, van Zanten A. The impact of an individually tailored, stepwise nutrition protocol on energy and protein adequacy in post-ICU patients: The PROSPECT-II observational cohort study. Clinical Nutrition 2025;54:120 View