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

Design and Usability of Websites for Special User Groups (260) Web-based and Mobile Health Interventions (4342) Consumer & Patient Education and Shared-Decision Making (957) Diabetes Self-Management (646) Innovations and Technology for Healthy Eating Education (516)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43959, first published .
Woman using tablet to cook healthy vegetables in a modern kitchen

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

Authors of this article:

Kim Bul1 Author Orcid Image ;   Nikki Holliday1 Author Orcid Image ;   Mohammad Rashed Alam Bhuiyan2, 3 Author Orcid Image ;   Cain C T Clark1, 4 Author Orcid Image ;   John Allen1 Author Orcid Image ;   Petra A Wark1 Author Orcid Image
Article Authors Cited by (20) Tweetations (7) Metrics

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
  6. Maheshwari S, Kalia A, Tewari J, Tewari A, Srivastava A, Dantu R, Sachan A, Verma N, Maheshwari A. Artificial intelligence for diabetes management – a review. Journal of Diabetes, Metabolic Disorders & Control 2025;12(1):24 View
  7. Yousefi F, Naye F, Ouellet S, Yameogo A, Sasseville M, Bergeron F, Ozkan M, Cousineau M, Amil S, Rhéaume C, Gagnon M. Artificial Intelligence in Health Promotion and Disease Reduction: Rapid Review. Journal of Medical Internet Research 2025;27:e70381 View
  8. Wang X, Sun Z, Xue H, An R. Artificial Intelligence Applications to Personalized Dietary Recommendations: A Systematic Review. Healthcare 2025;13(12):1417 View
  9. Lalani B, Herur R, Zade D, Collins G, Dishong D, Mehta S, Shim J, Valdez Y, Mathioudakis N. Applications of Artificial Intelligence and Machine Learning in Prediabetes: A Scoping Review. Journal of Diabetes Science and Technology 2025 View
  10. González-Rivas J, Seyedi S, Mechanick J. Artificial Intelligence Enabled Lifestyle Medicine in Diabetes Care: A Narrative Review. American Journal of Lifestyle Medicine 2025 View
  11. Mundt C, Yusufoğlu B, Kudenko D, Mertoğlu K, Esatbeyoglu T. AI‐Driven Personalized Nutrition: Integrating Omics, Ethics, and Digital Health. Molecular Nutrition & Food Research 2025;69(24) View
  12. 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
  13. Wu Q, Huang C, Zhang F, Zhuang C. From support to strategy: The evolving role of perioperative nutrition in regulating the prognosis of colorectal cancer surgery. Clinical Surgical Oncology 2025;4(4):100110 View
  14. Erik A, Hamidy S, Karamancıoğlu H, Küçük Kırtıklı B. AI in nutrition: multi-criteria analysis of diet plans across diverse client profiles. Nutrition Research 2026;146:53 View
  15. Mansoor R, Rūtelione A, Bhutto M. From Pixels to Plates: Exploring AI Stimuli and Digital Engagement in Reducing Food Waste Behavior in Lithuania Among Generation Z and Y. Sustainability 2026;18(1):495 View
  16. Hu Q, Xu J, Peng Y, Wang J, Huang G. The application of AI-based interventions in diabetes personalized management: a systematic review and meta-analysis. Diabetology & Metabolic Syndrome 2026;18(1) View
  17. Pushparaj P, Mohan L, Ambikalekshmi A, Cherian E, Rajan R, Kumar N. AI and IoT in Nutritional Science: Transforming Digestion Research and Precision Nutrition. Current Research in Nutrition and Food Science Journal 2026;1(14):72 View
  18. Morris M, Raghunathan K, Peiris C, Gilmartin-Thomas J, Heng H, McKercher J, Edvardsson K, Ho K, Johnston J, Bourke S, Wani T, Volpe D, Danish S, Moyo N, Thwaites C. Artificial intelligence adoption by allied health professionals: a scoping review. European Journal of Physiotherapy 2026:1 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

Conference Proceedings

  1. T E, M M, S J, P S. 2025 International Conference on Recent Innovation in Science Engineering and Technology (ICRISET). A Smart Platform for Food Enthusiasts Driven by AI for Recipe Sharing and Discovery View