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

Kim Bul   1 , BSc, MSc, PhD ;   Nikki Holliday   1 , BSc, MSc ;   Mohammad Rashed Alam Bhuiyan   2, 3 , BSc, MSc ;   Cain C T Clark   1, 4 , BSc, MSc, PhD ;   John Allen   1 , BEng, MSc, PhD ;   Petra A Wark   1 , BSc, MSc, PhD

1 Research Institute for Health and Wellbeing, Coventry University, Coventry, United Kingdom

2 Centre for Trust Peace and Social Relations, Coventry University, Coventry, United Kingdom

3 Department of Political Sciences, University of Dhaka, Dhaka, Bangladesh

4 Warwickshire InStitute for Diabetes, Endocrinology & Metabolism, University Hospitals Coventry & Warwickshire NHS Trust, Coventry, United Kingdom

Corresponding Author:

  • Kim Bul, BSc, MSc, PhD
  • Research Institute for Health and Wellbeing
  • Coventry University
  • Priory Street
  • Coventry, CV1 5FB
  • United Kingdom
  • Phone: 44 07392096816
  • Email: ac2658@coventry.ac.uk