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

Formative Evaluation of Digital Health Interventions (2828) mHealth for Wellness, Behavior Change and Prevention (3104) Mobile Health (mhealth) (3162) Obesity and Nutrition as Public Health Problem (349) Innovations and Technology for Healthy Eating Education (454) Web-based and Mobile Health Interventions (3646)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46839, first published .
A Novel Mobile App for Personalized Dietary Advice Leveraging Persuasive Technology, Computer Vision, and Cloud Computing: Development and Usability Study

A Novel Mobile App for Personalized Dietary Advice Leveraging Persuasive Technology, Computer Vision, and Cloud Computing: Development and Usability Study

A Novel Mobile App for Personalized Dietary Advice Leveraging Persuasive Technology, Computer Vision, and Cloud Computing: Development and Usability Study

Authors of this article:

Vivienne Guan1 Author Orcid Image ;   Chenghuai Zhou2 Author Orcid Image ;   Hengyi Wan2 Author Orcid Image ;   Rengui Zhou2 Author Orcid Image ;   Dongfa Zhang2 Author Orcid Image ;   Sihan Zhang2 Author Orcid Image ;   Wangli Yang2 Author Orcid Image ;   Bhanu Prakash Voutharoja2 Author Orcid Image ;   Lei Wang2 Author Orcid Image ;   Khin Than Win2 Author Orcid Image ;   Peng Wang2 Author Orcid Image
Article Authors Cited by (7) Tweetations (7) Metrics

Journals

  1. Al-yaseen W, Raggio D, Araujo M, Innes N. “I Just Wanted a Dentist in My Phone”—Designing Evidence-Based mHealth Prototype to Improve Preschool Children’s Oral and Dental Health: Multimethod Study of the Codevelopment of an App for Children’s Teeth. JMIR Formative Research 2024;8:e49561 View
  2. Shi L, Li X, Win K. Investigating mobile persuasive design for mental wellness: A cross-domain analysis. International Journal of Medical Informatics 2024;185:105353 View
  3. Javaid M, Haleem A, Singh R, Ahmed M. Computer vision to enhance healthcare domain: An overview of features, implementation, and opportunities. Intelligent Pharmacy 2024;2(6):792 View
  4. Ferdous T, Jaman M, Siddique A, Sultana N, Hossain T, Arifeen S, Billah S. Feasibility of Employing mHealth in Delivering Preventive Nutrition Interventions Targeting the First 1000 Days of Life: Experiences from a Community-Based Cluster Randomised Trial in Rural Bangladesh. Nutrients 2024;16(20):3429 View
  5. Tohit N, Ya R, Haque M. Bridging the Gap: Integrating Food Security into Healthcare for Healthier Futures – A Scoping Review. Advances in Human Biology 2025;15(2):177 View
  6. Karabay A, Varol H, Chan M. Improved food image recognition by leveraging deep learning and data-driven methods with an application to Central Asian Food Scene. Scientific Reports 2025;15(1) View

Books/Policy Documents

  1. Prasad G, Padhiary M, Hoque A, Kumar K. Food in the Metaverse and Web 3.0 Era. View