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

Digital Health Reviews (1522) Instruments and Questionnaires for Nutrition and Food Intake (185) Innovations and Technology for Healthy Eating Education (453) Artificial Intelligence (1735) Applications of AI (175)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54557, first published .
Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review

Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review

Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review

Authors of this article:

Jiakun Zheng1 Author Orcid Image ;   Junjie Wang2 Author Orcid Image ;   Jing Shen3 Author Orcid Image ;   Ruopeng An4 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Kopitar L, Bedrač L, Strath L, Bian J, Stiglic G. Improving Personalized Meal Planning with Large Language Models: Identifying and Decomposing Compound Ingredients. Nutrients 2025;17(9):1492 View
  2. Shoda K, Kawaguchi Y, Maruyama S, Ichikawa D. Essential Updates 2023/2024: Recent Advances of Multimodal Approach in Patients for Gastric Cancer. Annals of Gastroenterological Surgery 2025 View
  3. Andreou E, Papaneophytou C. Boosting Immunity Through Nutrition and Gut Health: A Narrative Review on Managing Allergies and Multimorbidity. Nutrients 2025;17(10):1685 View