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Relative Validation of an Artificial Intelligence–Enhanced, Image-Assisted Mobile App for Dietary As...

Relative Validation of an Artificial Intelligence–Enhanced, Image-Assisted Mobile App for Dietary As...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9231208d81154d5990215c4ed7281011

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

About this item

Full title

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

Publisher

Toronto: Journal of Medical Internet Research

Journal title

Journal of medical Internet research, 2022-11, Vol.24 (11), p.e40449-e40449

Language

English

Formats

Publication information

Publisher

Toronto: Journal of Medical Internet Research

More information

Scope and Contents

Contents

Thorough 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. Keenoa is an image-assisted food diary that integrates artificial intelligence food...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9231208d81154d5990215c4ed7281011

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9231208d81154d5990215c4ed7281011

Other Identifiers

ISSN

1438-8871,1439-4456

E-ISSN

1438-8871

DOI

10.2196/40449

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