Relative validity of a mobile AI-technology assisted dietary assessment in adolescent females in Vietnam

dc.creatorNguyen, Phuong Hong
dc.creatorKoch, Bastien
dc.creatorArrieta, Alejandra
dc.creatorGelli, Aulo
dc.creatorTran, Lan Mai
dc.creatorHoang, Nga Thu
dc.date2022-10
dc.date2024-04-12T13:37:40Z
dc.date2024-04-12T13:37:40Z
dc.date.accessioned2026-06-27T15:29:01Z
dc.descriptionBackground: There is a gap in data on dietary intake of adolescents in low- and middle-income countries. Traditional methods for dietary assessment are resource intensive and lack accuracy with regards to portion size estimation. Technology assisted dietary assessment tools have been proposed but few have been validated for feasibility of use in LMICs. Objectives: We assess the relative validity of FRANI (Food Recognition Assistance and Nudging Insights), a mobile Artificial Intelligence (AI) application for dietary assessment in adolescent females (n = 36) aged 12–18y in Vietnam, against weighed records (WR) standard, and compared FRANI performance to a multi-pass 24-hour recall (24HR).
dc.identifierhttps://hdl.handle.net/10568/141309
dc.identifier.urihttp://hdl.handle.net/123456789/105764
dc.languageen
dc.publisherElsevier
dc.relationhttps://doi.org/10.2499/p15738coll2.136400
dc.rightsOpen Access
dc.sourceNguyen, Phuong Hong; Koch, Bastien; Arrieta, Alejandra; Gelli, Aulo; Tran, Lan Mai; Hoang, Nga Thu. 2022. Relative validity of a mobile AI-technology assisted dietary assessment in adolescent females in Vietnam. American Journal of Clinical Nutrition 116(4): 992-1001. https://doi.org/10.1093/ajcn/nqac216
dc.subjectdata
dc.subjectadolescents
dc.subjectfood weight record
dc.subjectdietary assessment
dc.subjecttechnology
dc.subjectartificial intelligence
dc.subjectdeveloping countries
dc.subjectinformation and communication technologies
dc.subjectdiet
dc.titleRelative validity of a mobile AI-technology assisted dietary assessment in adolescent females in Vietnam
dc.typeJournal Article

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