Can large language models be trusted? Reliability and readability of responses to perinatal depression FAQs.

Huang J, Yu H, Chen J, Wang X, Huang L, Wen J, Li H.

Open source

DOI: 10.3389/fpubh.2026.1760872
Published: 2026-02-23
Container: Front Public Health
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/fpubh.2026.1760872,
  title = {Can large language models be trusted? Reliability and readability of responses to perinatal depression FAQs.},
  author = {Huang J and  Yu H and  Chen J and  Wang X and  Huang L and  Wen J and  Li H.},
  year = {2026},
  journal = {Front Public Health},
  doi = {10.3389/fpubh.2026.1760872},
  url = {https://doi.org/10.3389/fpubh.2026.1760872}
}

RIS

TY  - JOUR
TI  - Can large language models be trusted? Reliability and readability of responses to perinatal depression FAQs.
AU  - Huang J
AU  -  Yu H
AU  -  Chen J
AU  -  Wang X
AU  -  Huang L
AU  -  Wen J
AU  -  Li H.
PY  - 2026
JO  - Front Public Health
DO  - 10.3389/fpubh.2026.1760872
UR  - https://doi.org/10.3389/fpubh.2026.1760872
ER  -

APA

J, H., H, Y., J, C., X, W., L, H., J, W., & H., L. (2026). Can large language models be trusted? Reliability and readability of responses to perinatal depression FAQs.. Front Public Health. https://doi.org/10.3389/fpubh.2026.1760872

Source records

europe-pmc · retrieved 2026-09-27T06:59:21.651Z
doaj · retrieved 2026-09-27T06:59:21.672Z