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

Mobile Health (mhealth) (2748) Web-based and Mobile Health Interventions (3092) mHealth for Wellness, Behavior Change and Prevention (2728) Obesity and Nutrition as Public Health Problem (277) Innovations and Technology for Healthy Eating Education (399) Eating Disorders (73) Chatbots and Conversational Agents (458) Generative Language Models Including ChatGPT (201) Depression and Mood Disorders; Suicide Prevention (1271)

Published on in Vol 26 (2024)

This is a member publication of National University of Singapore

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46036, first published .
Effectiveness of an Artificial Intelligence-Assisted App for Improving Eating Behaviors: Mixed Methods Evaluation

Effectiveness of an Artificial Intelligence-Assisted App for Improving Eating Behaviors: Mixed Methods Evaluation

Effectiveness of an Artificial Intelligence-Assisted App for Improving Eating Behaviors: Mixed Methods Evaluation

Authors of this article:

Han Shi Jocelyn Chew1 Author Orcid Image ;   Nicholas WS Chew2 Author Orcid Image ;   Shaun Seh Ern Loong3 Author Orcid Image ;   Su Lin Lim4 Author Orcid Image ;   Wai San Wilson Tam1 Author Orcid Image ;   Yip Han Chin3 Author Orcid Image ;   Ariana M Chao5 Author Orcid Image ;   Georgios K Dimitriadis6 Author Orcid Image ;   Yujia Gao7 Author Orcid Image ;   Jimmy Bok Yan So8 Author Orcid Image ;   Asim Shabbir8 Author Orcid Image ;   Kee Yuan Ngiam9 Author Orcid Image
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