This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (1859) Artificial Intelligence (625) Food Sciences and Nutrition Engineering (35) Innovations and Technology for Healthy Eating Education (312) Instruments and Questionnaires for Nutrition and Food Intake (138)

Published on in Vol 24 , No 11 (2022) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40449, first published .
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

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

Authors of this article:

Audrey Moyen 1, 2 Author Orcid Image ;   Aviva Ilysse Rappaport 1 Author Orcid Image ;   Chloé Fleurent-Grégoire 1, 2 Author Orcid Image ;   Anne-Julie Tessier 1, 2 Author Orcid Image ;   Anne-Sophie Brazeau 1 Author Orcid Image ;   Stéphanie Chevalier 1, 2, 3 Author Orcid Image
Article Authors Cited by Tweetations (13) Metrics
Audrey Moyen 1, 2 , BSc ;   Aviva Ilysse Rappaport 1 , BSc, MSc ;   Chloé Fleurent-Grégoire 1, 2 , BSc ;   Anne-Julie Tessier 1, 2 , BSc, PhD ;   Anne-Sophie Brazeau 1 , BSc, MSc, PhD ;   Stéphanie Chevalier 1, 2, 3 , BSc, MSc, PhD

1 School of Human Nutrition , McGill University , Sainte-Anne-de-Bellevue , QC , CA

2 Research Institute of the McGill University Health Centre , Montreal , QC , CA

3 Department of Medicine , McGill University , Montreal , QC , CA

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