Automated Classification of Radiation Oncology Safety Events Using Large Language Models: A Novel Approach to Streamline Reporting and Enable Retrospective Analysis.
- DOI
- 10.1016/j.prro.2026.08.001
- Published
- 2026 Sep 17
- Container
- Practical radiation oncology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.prro.2026.08.001,
title = {Automated Classification of Radiation Oncology Safety Events Using Large Language Models: A Novel Approach to Streamline Reporting and Enable Retrospective Analysis.},
author = {Li Q and Liu J and Li X and Nie W and Fan J},
year = {2026},
journal = {Practical radiation oncology},
doi = {10.1016/j.prro.2026.08.001},
url = {https://doi.org/10.1016/j.prro.2026.08.001}
}RIS
TY - JOUR TI - Automated Classification of Radiation Oncology Safety Events Using Large Language Models: A Novel Approach to Streamline Reporting and Enable Retrospective Analysis. AU - Li Q AU - Liu J AU - Li X AU - Nie W AU - Fan J PY - 2026 JO - Practical radiation oncology DO - 10.1016/j.prro.2026.08.001 UR - https://doi.org/10.1016/j.prro.2026.08.001 ER -
APA
Q, L., J, L., X, L., W, N., & J, F. (2026). Automated Classification of Radiation Oncology Safety Events Using Large Language Models: A Novel Approach to Streamline Reporting and Enable Retrospective Analysis.. Practical radiation oncology. https://doi.org/10.1016/j.prro.2026.08.001
Source records
- pubmed · retrieved 2026-09-25T14:03:39.121Z