Adherence
Automated dietary monitoring using social media data (text and images) is technically feasible and usable, but current accuracy levels (approx. 51% for fusion models) are insufficient for precise clinical nutrient tracking without manual verification.
Social media-based dietary apps can help you track food by reading your posts, but they are not yet accurate enough to rely on for precise calorie or nutrient counting. Use them as a rough guide or habit-builder, but verify specific nutritional needs manually or with a professional.
Although we have improved the performance of diet identification with the visual-textual data integrator, the demonstrated diet identification performance is still not sufficiently precise for use in the real world.
Why this rating
Small sample size (n=10) for usability; technical performance metrics are reported but on a specific dataset, not generalizable clinical outcomes.
Source
Ifood: Development and usability study of a social media-based applet for dietary monitoring
Yushan Lan et al. · Digital Health · 2023
DOI 10.1177/20552076231210707
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