Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43959, first published .
Usability and Preliminary Efficacy of an Artificial Intelligence–Driven Platform Supporting Dietary Management in Diabetes: Mixed Methods Study

Usability and Preliminary Efficacy of an Artificial Intelligence–Driven Platform Supporting Dietary Management in Diabetes: Mixed Methods Study

Usability and Preliminary Efficacy of an Artificial Intelligence–Driven Platform Supporting Dietary Management in Diabetes: Mixed Methods Study

Journals

  1. Dhankhar S, Garg N, Chauhan S, Saini M. Role of Artificial Intelligence in Diabetic Wound Screening and Early Detection. Current Biotechnology 2024;13(2):93 View
  2. Zakaria S, Bradford M, Hutton E, Besse J. Use of AI in the UK Food System. FSA Research and Evidence 2024 View
  3. Kaya Kaçar H, Kaçar Ö, Avery A. Diet Quality and Caloric Accuracy in AI-Generated Diet Plans: A Comparative Study Across Chatbots. Nutrients 2025;17(2):206 View
  4. Wu X, Oniani D, Shao Z, Arciero P, Sivarajkumar S, Hilsman J, Mohr A, Ibe S, Moharir M, Li L, Jain R, Chen J, Wang Y. A Scoping Review of Artificial Intelligence for Precision Nutrition. Advances in Nutrition 2025;16(4):100398 View
  5. Munir M, Ahmed N. Using Social Media Platforms to Raise Health Awareness and Increase Health Education in Pakistan: Structural Equation Modeling Analysis and Questionnaire Study. JMIR Human Factors 2025;12:e65745 View

Books/Policy Documents

  1. Pagou E, Kamla V, Tchappi I, Ngathic J, Tsakam L, Najjar A. Safe, Secure, Ethical, Responsible Technologies and Emerging Applications. View