Computer vision–assisted dietary assessment through mobile phones in female youth in urban Ghana: validity against weighed records and comparison with 24-h recalls
FRANI-assisted dietary assessment accurately estimates nutrient intake and performed as accurately as 24HR in female youth in Ghana. Although improvements in computer vision-assisted diet assessment are possible, emerging evidence on FRANI suggests its readiness for scale-up.
Authors
- Vicentia Atadze
- Gabriel Ador
- Peter McCloskey (ORCID: https://orcid.org/0000-0003-0608-2644)
- Boateng Bannerman (ORCID: https://orcid.org/0009-0005-9012-2953)
- Millicent Asante
- David James Hughes (ORCID: https://orcid.org/0000-0002-9158-0017)
- Aulo Gelli (ORCID: https://orcid.org/0000-0003-4977-2549)
- Gloria Folson (ORCID: https://orcid.org/0000-0002-1310-287X)
- Odiche Nwabuikwu
- Phuong Hong Nguyen (ORCID: https://orcid.org/0000-0003-3418-1674)
- Silas Bempong
Institutions
- Pennsylvania State University (US)
- University of Ghana (GH)
- International Food Policy Research Institute (US)
- Noguchi Memorial Institute for Medical Research (GH)
- Thai Nguyen University (VN)
Publication Details
- Journal
- American Journal of Clinical Nutrition
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1016/j.ajcnut.2024.08.011
- Citations
- 7
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 3.80