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

Formative Evaluation of Digital Health Interventions (2280) Web-based and Mobile Health Interventions (3174) mHealth for Wellness, Behavior Change and Prevention (2794) Artificial Intelligence (1276) Mobile Health (mhealth) (2817) Innovations and Technology for Healthy Eating Education (405) Text-messaging (SMS, WeChat etc)-Based Interventions (632)

Published on in Vol 6, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30630, first published .
Evaluation of Dietary Management Using Artificial Intelligence and Human Interventions: Nonrandomized Controlled Trial

Evaluation of Dietary Management Using Artificial Intelligence and Human Interventions: Nonrandomized Controlled Trial

Evaluation of Dietary Management Using Artificial Intelligence and Human Interventions: Nonrandomized Controlled Trial

Authors of this article:

Fusae Okaniwa1 Author Orcid Image ;   Hiroshi Yoshida2 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

Journals

  1. Wu C, Xu H, Bai D, Chen X, Gao J, Jiang X. Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis. BMJ Open 2023;13(1):e066322 View
  2. Guida F, Andreozzi L, Zama D, Prete A, Masetti R, Fabi M, Lanari M. Innovative strategies to predict and prevent the risk for malnutrition in child, adolescent, and young adult cancer survivors. Frontiers in Nutrition 2023;10 View
  3. Pala D, Petrini G, Bosoni P, Larizza C, Quaglini S, Lanzola G. Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities. International Journal of Medical Informatics 2024;184:105351 View
  4. Novozhilova E, Mays K, Paik S, Katz J. More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts. Machine Learning and Knowledge Extraction 2024;6(1):342 View