Evaluating large language model clinical reasoning in glaucoma using retrieval-augmented generation.
- DOI
- 10.1016/j.aopr.2026.05.003
- Published
- 2026 Aug-Sep
- Container
- Advances in ophthalmology practice and research
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.aopr.2026.05.003,
title = {Evaluating large language model clinical reasoning in glaucoma using retrieval-augmented generation.},
author = {Yin H and Miao Q and Zhou W and Hu C and Guo Y and Shen L and Cai H and Grzybowski A and Jin K},
year = {2026},
journal = {Advances in ophthalmology practice and research},
doi = {10.1016/j.aopr.2026.05.003},
url = {https://doi.org/10.1016/j.aopr.2026.05.003}
}RIS
TY - JOUR TI - Evaluating large language model clinical reasoning in glaucoma using retrieval-augmented generation. AU - Yin H AU - Miao Q AU - Zhou W AU - Hu C AU - Guo Y AU - Shen L AU - Cai H AU - Grzybowski A AU - Jin K PY - 2026 JO - Advances in ophthalmology practice and research DO - 10.1016/j.aopr.2026.05.003 UR - https://doi.org/10.1016/j.aopr.2026.05.003 ER -
APA
H, Y., Q, M., W, Z., C, H., Y, G., L, S., H, C., A, G., & K, J. (2026). Evaluating large language model clinical reasoning in glaucoma using retrieval-augmented generation.. Advances in ophthalmology practice and research. https://doi.org/10.1016/j.aopr.2026.05.003
Source records
- pubmed · retrieved 2026-09-25T15:15:18.550Z