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

Formative Evaluation of Digital Health Interventions (2414) Artificial Intelligence (1371)

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

Authors of this article:

Masato Tagi1 Author Orcid Image ;   Mari Tajiri2 Author Orcid Image ;   Yasuhiro Hamada3 Author Orcid Image ;   Yoshifumi Wakata4, 5 Author Orcid Image ;   Xiao Shan5 Author Orcid Image ;   Kazumi Ozaki6 Author Orcid Image ;   Masanori Kubota7 Author Orcid Image ;   Sosuke Amano7 Author Orcid Image ;   Hiroshi Sakaue2, 8 Author Orcid Image ;   Yoshiko Suzuki2 Author Orcid Image ;   Jun Hirose1 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics

Journals

  1. Joshua S, Shin S, Lee J, Kim S. Health to Eat: A Smart Plate with Food Recognition, Classification, and Weight Measurement for Type-2 Diabetic Mellitus Patients’ Nutrition Control. Sensors 2023;23(3):1656 View
  2. Sari Y, Gofuku A. Measuring food volume from RGB-Depth image with point cloud conversion method using geometrical approach and robust ellipsoid fitting algorithm. Journal of Food Engineering 2023;358:111656 View
  3. Shonkoff E, Cara K, Pei X, Chung M, Kamath S, Panetta K, Hennessy E. AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review. Annals of Medicine 2023;55(2) View
  4. Janssen S, Bouzembrak Y, Tekinerdogan B. Artificial Intelligence in Malnutrition: A Systematic Literature Review. Advances in Nutrition 2024;15(9):100264 View
  5. Tagi M, Hamada Y, Shan X, Ozaki K, Kubota M, Amano S, Sakaue H, Suzuki Y, Konishi T, Hirose J. A Food Intake Estimation System Using an Artificial Intelligence–Based Model for Estimating Leftover Hospital Liquid Food in Clinical Environments: Development and Validation Study. JMIR Formative Research 2024;8:e55218 View

Books/Policy Documents

  1. Shafik W. Nutrition Controversies and Advances in Autoimmune Disease. View