Relative Validation of an Artificial Intelligence–Enhanced, Image-Assisted Mobile App for Dietary Assessment in Adults: Randomized Crossover Study

Relative Validation of an Artificial Intelligence–Enhanced, Image-Assisted Mobile App for Dietary Assessment in Adults: Randomized Crossover Study

BackgroundThorough dietary assessment is essential to obtain accurate food and nutrient intake data yet challenging because of the limitations of current methods. Image-based methods may decrease energy underreporting and increase the validity of self-reported dietary intake....

Full description

Bibliographic Details
Main Authors: Audrey Moyen, Aviva Ilysse Rappaport, Chloé Fleurent-Grégoire, Anne-Julie Tessier, Anne-Sophie Brazeau, Stéphanie Chevalier
Format: Article
Language:English
Published: JMIR Publications 2022-11-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2022/11/e40449

Similar Items

Similar Items