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

Design and Usability of Websites for Special User Groups (171) Consumer & Patient Education and Shared-Decision Making (695) Innovations and Technology for Healthy Eating Education (425) Web-based and Mobile Health Interventions (3357) Diabetes Self-Management (495) Artificial Intelligence (96)

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

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 (3) Tweetations (11) 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

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