An automated image-based dietary assessment application: a pilot study.

ABSTRACT: Accurate assessment of an individual's diet is vital to study the effect of diet on health. Image-based methods, which use images as input, may improve the reliability of dietary assessment. We developed an iOS application that uses computer vision to identify food from images. This study aimed to assess the accuracy of energy intake (EI_app) estimates from the application by comparing them to estimated energy expenditure (EE) and to the EI estimates from a validated dietary assessment tool, the 24-h recall (EI_recall). Participants were recruited from a randomised controlled trial called He Rourou Whai Painga. Participants recorded all intake over 7 d using the application, which provided a mean daily EI; this was compared to the EI estimated by two 24-h recalls. The E

SUBMITTER: Lee L 

PROVIDER: S-EPMC12658290 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature