Benchmarking of large language models to determine candidacy for spine surgery and comparison with conventional machine learning.
- DOI
- 10.1186/s12891-026-09771-4
- Published
- 2026 Apr 9
- Container
- BMC musculoskeletal disorders
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12891-026-09771-4,
title = {Benchmarking of large language models to determine candidacy for spine surgery and comparison with conventional machine learning.},
author = {Rice C and Abel F and Nigru AS and Rusakov A and Nikolaev NS and Baiun Y and Falk A and Yuriy T and Valerii F and Kopeev A and Mourad R},
year = {2026},
journal = {BMC musculoskeletal disorders},
doi = {10.1186/s12891-026-09771-4},
url = {https://doi.org/10.1186/s12891-026-09771-4}
}RIS
TY - JOUR TI - Benchmarking of large language models to determine candidacy for spine surgery and comparison with conventional machine learning. AU - Rice C AU - Abel F AU - Nigru AS AU - Rusakov A AU - Nikolaev NS AU - Baiun Y AU - Falk A AU - Yuriy T AU - Valerii F AU - Kopeev A AU - Mourad R PY - 2026 JO - BMC musculoskeletal disorders DO - 10.1186/s12891-026-09771-4 UR - https://doi.org/10.1186/s12891-026-09771-4 ER -
APA
C, R., F, A., AS, N., A, R., NS, N., Y, B., A, F., T, Y., F, V., A, K., & R, M. (2026). Benchmarking of large language models to determine candidacy for spine surgery and comparison with conventional machine learning.. BMC musculoskeletal disorders. https://doi.org/10.1186/s12891-026-09771-4
Source records
- pubmed · retrieved 2026-09-26T11:24:37.429Z