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

Formative Evaluation of Digital Health Interventions (2772) Web-based and Mobile Health Interventions (3586) mHealth for Wellness, Behavior Change and Prevention (3068) Artificial Intelligence (1665) Mobile Health (mhealth) (3123) Innovations and Technology for Healthy Eating Education (442) Text-messaging (SMS, WeChat etc)-Based Interventions (689)

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 (9) Tweetations (5) Metrics

Journals

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  8. Noda Y, Kometani M, Nomura A, Noda M, Oka R, Kadono M, Yoneda T, Ayatollahi H. The usefulness of an application-supported nutritional intervention on non-high-density lipoprotein cholesterol in people with a risk of lifestyle-related diseases. PLOS Digital Health 2024;3(12):e0000648 View
  9. Paul P, Bandyopadhyay A, Kayyali M, Das N, Chatterjee R, Sharma S. Integrating Big Data and AI in Nutrition. International Journal of Reliable and Quality E-Healthcare 2025;14(1):1 View