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

Masato Tagi   1 , PhD ;   Yasuhiro Hamada   2 , MD, PhD ;   Xiao Shan   3 , MS ;   Kazumi Ozaki   4 , DDS, PhD ;   Masanori Kubota   5 , PhD ;   Sosuke Amano   5 , MS ;   Hiroshi Sakaue   6, 7 , MD, PhD ;   Yoshiko Suzuki   6 , PhD ;   Takeshi Konishi   1 , PhD ;   Jun Hirose   1 , MD, PhD

1 Medical Informatics, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan

2 Department of Therapeutic Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan

3 Medical Information Technology Center, Tokushima University Hospital, Tokushima, Japan

4 Department of Oral Health Care Promotion, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan

5 foo.log Inc, Tokyo, Japan

6 Division of Nutrition, Tokushima University Hospital, Tokushima, Japan

7 Department of Nutrition and Metabolism, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan

Corresponding Author:

  • Masato Tagi, PhD
  • Medical Informatics, Institute of Biomedical Sciences
  • Tokushima University Graduate School
  • 3-18-15, Kuramoto-cho
  • Tokushima, 7708503
  • Japan
  • Phone: 81 88-633-9178
  • Email: tagi@tokushima-u.ac.jp