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

Mobile Health (mhealth) (3464) Web-based and Mobile Health Interventions (4018) mHealth for Wellness, Behavior Change and Prevention (3315) Obesity and Nutrition as Public Health Problem (397) Innovations and Technology for Healthy Eating Education (487) Eating Disorders (102) Chatbots and Conversational Agents (740) Generative Language Models Including ChatGPT (708) Depression and Mood Disorders; Suicide Prevention (1691)

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
Article Authors Cited by (21) Tweetations (28) Metrics

Journals

  1. López Martínez E, González Díaz C, Fortanet van Assendelft de Coningh C. Jóvenes universitarios, alimentación y aplicaciones móviles: una revisión de estudios. European Public & Social Innovation Review 2024;10:1 View
  2. Kassem H, Beevi A, Basheer S, Lutfi G, Cheikh Ismail L, Papandreou D. Investigation and Assessment of AI’s Role in Nutrition—An Updated Narrative Review of the Evidence. Nutrients 2025;17(1):190 View
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  9. Jóhannsdóttir L, Sigurðardóttir S, Óskarsdóttir M, Islind A. Digital nudging in digital health technologies: a systematic review. Health and Technology 2025;15(6):1037 View
  10. Couto F, de Almeida C. Mobile and Web Apps for Weight Management in Overweight and Obese Adults: An Updated Umbrella Review and Meta-Analysis. International Journal of Environmental Research and Public Health 2025;22(7):1152 View
  11. Hua Y, Siddals S, Ma Z, Galatzer‐Levy I, Xia W, Hau C, Na H, Flathers M, Linardon J, Ayubcha C, Torous J. Charting the evolution of artificial intelligence mental health chatbots from rule‐based systems to large language models: a systematic review. World Psychiatry 2025;24(3):383 View
  12. Młynarska E, Bojdo K, Bulicz A, Frankenstein H, Gąsior M, Kustosik N, Rysz J, Franczyk B. Obesity as a Multifactorial Chronic Disease: Molecular Mechanisms, Systemic Impact, and Emerging Digital Interventions. Current Issues in Molecular Biology 2025;47(10):787 View
  13. Kalu K, Ataguba G, Onifade O, Orji F, Giweli N, Orji R. Application of Artificial Intelligence Technologies as an Intervention for Promoting Healthy Eating and Nutrition in Older Adults: A Systematic Literature Review. Nutrients 2025;17(20):3223 View
  14. Panayotova G. Artificial Intelligence in Nutrition and Dietetics: A Comprehensive Review of Current Research. Healthcare 2025;13(20):2579 View
  15. Campoverde C, Moyano E, Punin D, Freile E, Varela E, Calderon S. Obesity and the role of artificial intelligence as a prediction tool. International Journal of Research in Medical Sciences 2025;13(11):5018 View
  16. Avdeeva M, Gogoleva M, Rizakhanova O, Shatalova M, Nosacheva V, Sandgarten L, Signaevskaya A, Chestnyi I. Modern approaches to formation people eating behavior using digital technologies and artificial intelligence. Russian Journal of Preventive Medicine 2025;28(10):33 View
  17. Lee H, Hwang J, Yon D, Rhee S. Multimodal and Multidimensional Artificial Intelligence Technology in Obesity. Journal of Obesity & Metabolic Syndrome 2025;34(4):394 View
  18. Ngo K, Mekhail S, Chan V, Li X, Yin A, Choi H, Allman-Farinelli M, Chen J. The Use of Artificial Intelligence (AI) to Support Dietetic Practice Across Primary Care: A Scoping Review of the Literature. Nutrients 2025;17(22):3515 View
  19. Choochaiwattana W, Jaruariyanon P, Jitpranee A, Deecharoen R, Kaewpradup T, Chusak C, Adisakwattana S. AI powered dietary proportion assessment for improving accuracy and practicality of the balanced meal plate model. Scientific Reports 2025 View

Books/Policy Documents

  1. Chen X, Yu B, Fan H, Bin Azizan M, Ong C, Merritt T, Fernando O. Artificial Intelligence in HCI. View
  2. McNulty C. Esports Nutrition. View