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 4, 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 , JP

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

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

4 Medical Information Technology Center, Tokushima University Hospital , Tokushima , JP

5 Health Information Management Center, National Hospital Organization Kyushu Medical Center , Fukuoka , JP

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

7 foo.log Inc , Tokyo , JP

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

Corresponding Author:

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