Benchmarking large language models and clinicians using locally generated primary healthcare vignettes in Kenya
- DOI
- 10.1136/bmjdh-2026-000081
- Published
- July
- Container
- BMJ Digital Health & AI
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 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.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- 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.
- supportingOpen access status: Normalized open-access status: open.
- 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:10.1136/bmjdh-2026-000081,
title = {Benchmarking large language models and clinicians using locally generated primary healthcare vignettes in Kenya},
author = {Alastair K Denniston and Xiaoxuan Liu and Ambrose Agweyu and Paul Mwaniki and Vaishnavi Menon and Bilal Akhter Mateen and Lynda Isaaka and Conrad Wanyama and Mira Emmanuel-Fabula and Wilkister Musau and Gwydion Williams},
year = {2026},
journal = {BMJ Digital Health \& AI},
doi = {10.1136/bmjdh-2026-000081},
url = {https://doi.org/10.1136/bmjdh-2026-000081}
}RIS
TY - JOUR TI - Benchmarking large language models and clinicians using locally generated primary healthcare vignettes in Kenya AU - Alastair K Denniston AU - Xiaoxuan Liu AU - Ambrose Agweyu AU - Paul Mwaniki AU - Vaishnavi Menon AU - Bilal Akhter Mateen AU - Lynda Isaaka AU - Conrad Wanyama AU - Mira Emmanuel-Fabula AU - Wilkister Musau AU - Gwydion Williams PY - 2026 JO - BMJ Digital Health & AI DO - 10.1136/bmjdh-2026-000081 UR - https://doi.org/10.1136/bmjdh-2026-000081 ER -
APA
Denniston, A. K., Liu, X., Agweyu, A., Mwaniki, P., Menon, V., Mateen, B. A., Isaaka, L., Wanyama, C., Emmanuel-Fabula, M., Musau, W., & Williams, G. (2026). Benchmarking large language models and clinicians using locally generated primary healthcare vignettes in Kenya. BMJ Digital Health & AI. https://doi.org/10.1136/bmjdh-2026-000081
Source records
- doaj · retrieved 2026-09-26T05:15:48.263Z