Validity and accuracy of artificial intelligence-based dietary intake assessment methods: a systematic review.

Cofre S, Sanchez C, Quezada-Figueroa G, López-Cortés XA

DOI: 10.1017/s0007114525000522
Published: 2025 May 14
Container: The British journal of nutrition
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1017/s0007114525000522,
  title = {Validity and accuracy of artificial intelligence-based dietary intake assessment methods: a systematic review.},
  author = {Cofre S and Sanchez C and Quezada-Figueroa G and López-Cortés XA},
  year = {2025},
  journal = {The British journal of nutrition},
  doi = {10.1017/s0007114525000522},
  url = {https://doi.org/10.1017/s0007114525000522}
}

RIS

TY  - JOUR
TI  - Validity and accuracy of artificial intelligence-based dietary intake assessment methods: a systematic review.
AU  - Cofre S
AU  - Sanchez C
AU  - Quezada-Figueroa G
AU  - López-Cortés XA
PY  - 2025
JO  - The British journal of nutrition
DO  - 10.1017/s0007114525000522
UR  - https://doi.org/10.1017/s0007114525000522
ER  -

APA

S, C., C, S., G, Q., & XA, L. (2025). Validity and accuracy of artificial intelligence-based dietary intake assessment methods: a systematic review.. The British journal of nutrition. https://doi.org/10.1017/s0007114525000522

Source records

pubmed · retrieved 2026-09-25T14:17:40.658Z