Leveraging Artificial Intelligence to Improve Dietary Assessment in US College Students: Development of Large Language Model Technology and Protocol for Testing the PlantVillage Food Application.
- DOI
- 10.1016/j.jneb.2026.09.004
- Published
- 2026 Sep 22
- Container
- Journal of nutrition education and behavior
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.jneb.2026.09.004,
title = {Leveraging Artificial Intelligence to Improve Dietary Assessment in US College Students: Development of Large Language Model Technology and Protocol for Testing the PlantVillage Food Application.},
author = {Domfe CA and Gelli A and Bannerman B and Gayman TC and McCloskey P and Bempong S and Brown SD and Nguyen CJ and Arnold CD and Ilango S and Hughes D and Au LE},
year = {2026},
journal = {Journal of nutrition education and behavior},
doi = {10.1016/j.jneb.2026.09.004},
url = {https://doi.org/10.1016/j.jneb.2026.09.004}
}RIS
TY - JOUR TI - Leveraging Artificial Intelligence to Improve Dietary Assessment in US College Students: Development of Large Language Model Technology and Protocol for Testing the PlantVillage Food Application. AU - Domfe CA AU - Gelli A AU - Bannerman B AU - Gayman TC AU - McCloskey P AU - Bempong S AU - Brown SD AU - Nguyen CJ AU - Arnold CD AU - Ilango S AU - Hughes D AU - Au LE PY - 2026 JO - Journal of nutrition education and behavior DO - 10.1016/j.jneb.2026.09.004 UR - https://doi.org/10.1016/j.jneb.2026.09.004 ER -
APA
CA, D., A, G., B, B., TC, G., P, M., S, B., SD, B., CJ, N., CD, A., S, I., D, H., & LE, A. (2026). Leveraging Artificial Intelligence to Improve Dietary Assessment in US College Students: Development of Large Language Model Technology and Protocol for Testing the PlantVillage Food Application.. Journal of nutrition education and behavior. https://doi.org/10.1016/j.jneb.2026.09.004
Source records
- pubmed · retrieved 2026-11-10T11:49:27.403Z