Size doesn't matter: Assessing the trustworthiness of large language models in medical contexts: A focus on epidural information retrieval.
- DOI
- 10.1016/j.artmed.2026.103379
- Published
- 2026 May
- Container
- Artificial intelligence in medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.artmed.2026.103379,
title = {Size doesn't matter: Assessing the trustworthiness of large language models in medical contexts: A focus on epidural information retrieval.},
author = {Del Barrio M and Laos K and Lara MJV and García CG and Menendez HD},
year = {2026},
journal = {Artificial intelligence in medicine},
doi = {10.1016/j.artmed.2026.103379},
url = {https://doi.org/10.1016/j.artmed.2026.103379}
}RIS
TY - JOUR TI - Size doesn't matter: Assessing the trustworthiness of large language models in medical contexts: A focus on epidural information retrieval. AU - Del Barrio M AU - Laos K AU - Lara MJV AU - García CG AU - Menendez HD PY - 2026 JO - Artificial intelligence in medicine DO - 10.1016/j.artmed.2026.103379 UR - https://doi.org/10.1016/j.artmed.2026.103379 ER -
APA
M, D. B., K, L., MJV, L., CG, G., & HD, M. (2026). Size doesn't matter: Assessing the trustworthiness of large language models in medical contexts: A focus on epidural information retrieval.. Artificial intelligence in medicine. https://doi.org/10.1016/j.artmed.2026.103379
Source records
- pubmed · retrieved 2026-09-26T01:05:28.007Z