Baseline characteristics, satisfaction, system usability, and diabetes-related and general health indicators were assessed before and after using the platform for 8 weeks. The intervention consists of a web-based platform that incorporates AI to personalize recipes, meal planning, and shopping list experiences and was made available for 8 weeks. Web-based semistructured interviews were conducted with platform users (7/23, 30%) who agreed to be followed up and diabetes experts (n=3) who had nutrition and platform knowledge. Of these 73 participants, 23 (32%) completed a web-based survey after 8 weeks of platform use. A total of 73 adult participants with prediabetes or diabetes or their carers completed the baseline web-based survey. Methods: Diabetes UK signposted people with diabetes and their carers to the platform’s study-specific portal through its website, social media, and newsletters. Objective: This study aimed to examine the usability and preliminary efficacy of a web-based AI-driven nutrition platform to support people with diabetes and their carers in identifying healthy recipes, meal planning, and web-based shopping. Web-based diabetes care, driven by artificial intelligence (AI), enables more personalized care. Research Institute for Health and Wellbeingīackground: Nutrition plays an important role in diabetes self-management.
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