Relative Validation of an Artificial Intelligence-Enhanced, Image-Assisted Mobile App for Dietary Assessment in Adults: Randomized Crossover Study.
Audrey MoyenAviva Ilysse RappaportChloé Fleurent-GrégoireAnne-Julie TessierAnne-Sophie BrazeauStéphanie ChevalierPublished in: Journal of medical Internet research (2022)
The Keenoa app showed moderate to strong relative validity against ASA24 for energy, macronutrient, and most micronutrient intakes analyzed in healthy adults and those with diabetes. Keenoa is a new, alternative tool that may facilitate the work of dietitians and nutrition researchers. The perceived ease of use may improve food-tracking adherence over longer periods.
Keyphrases
- artificial intelligence
- deep learning
- machine learning
- big data
- physical activity
- glycemic control
- type diabetes
- double blind
- open label
- cardiovascular disease
- social support
- depressive symptoms
- placebo controlled
- phase iii
- mental health
- high intensity
- phase ii
- clinical trial
- risk assessment
- randomized controlled trial
- weight loss
- study protocol