Real-world performance of open-source large language models in diabetes diagnosis.

Yang S, Liu S, Ma Y, Gai B, Liu J, Wang L, Gao F, Zhou Z

Open source

DOI: 10.3389/fendo.2026.1747468
Published: 2026
Container: Frontiers in endocrinology
Publisher: Not recorded
Open access: yes

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uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.3389/fendo.2026.1747468,
  title = {Real-world performance of open-source large language models in diabetes diagnosis.},
  author = {Yang S and Liu S and Ma Y and Gai B and Liu J and Wang L and Gao F and Zhou Z},
  year = {2026},
  journal = {Frontiers in endocrinology},
  doi = {10.3389/fendo.2026.1747468},
  url = {https://doi.org/10.3389/fendo.2026.1747468}
}

RIS

TY  - JOUR
TI  - Real-world performance of open-source large language models in diabetes diagnosis.
AU  - Yang S
AU  - Liu S
AU  - Ma Y
AU  - Gai B
AU  - Liu J
AU  - Wang L
AU  - Gao F
AU  - Zhou Z
PY  - 2026
JO  - Frontiers in endocrinology
DO  - 10.3389/fendo.2026.1747468
UR  - https://doi.org/10.3389/fendo.2026.1747468
ER  -

APA

S, Y., S, L., Y, M., B, G., J, L., L, W., F, G., & Z, Z. (2026). Real-world performance of open-source large language models in diabetes diagnosis.. Frontiers in endocrinology. https://doi.org/10.3389/fendo.2026.1747468

Source records

pubmed · retrieved 2026-09-25T16:25:07.226Z
europe-pmc · retrieved 2026-09-25T16:25:07.242Z
doaj · retrieved 2026-09-25T16:25:07.237Z