Enhancing treatment decision-making for low back pain: a novel framework integrating large language models with retrieval-augmented generation technology
This study not only provides new technical support for clinical decision-making in CLBP, but also introduces a powerful tool for doctors to formulate personalized and efficient treatment strategies. It is expected to improve the diagnosis and treatment of CLBP in the future.
Authors
- Siyun Zhang (ORCID: https://orcid.org/0009-0009-7353-8235)
- Chuhuai Wang (ORCID: https://orcid.org/0000-0002-8071-9298)
- Qiuhua Yu (ORCID: https://orcid.org/0000-0003-3045-6124)
- Yiyi Zheng
- Rong Chen (ORCID: https://orcid.org/0000-0001-6208-2812)
Institutions
- Sun Yat-sen University (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-05-14
- DOI
- https://doi.org/10.3389/fmed.2025.1599241
- Citations
- 4
- Primary Topic
- Clinical practice guidelines implementation
- Type
- article
- Field-Weighted Citation Impact
- 7.51
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China