Published on in Vol 6, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35991, first published .
Accuracy of an Artificial Intelligence–Based Model for Estimating Leftover Liquid Food in Hospitals: Validation Study

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

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

Masato Tagi   1 , MS ;   Mari Tajiri   2 , PhD ;   Yasuhiro Hamada   3 , MD, PhD ;   Yoshifumi Wakata   4, 5 , MPH, MD, PhD ;   Xiao Shan   5 , MS ;   Kazumi Ozaki   6 , DDS, PhD ;   Masanori Kubota   7 , PhD ;   Sosuke Amano   7 , MS ;   Hiroshi Sakaue   2, 8 , MD, PhD ;   Yoshiko Suzuki   2 , PhD ;   Jun Hirose   1 , MD, PhD

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

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

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

4 Health Information Management Center, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan

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

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

7 foo.log Inc, Tokyo, Japan

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

Corresponding Author:

  • Masato Tagi, MS
  • Department of 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