Tests of large language models' medical competence and application for clinical decision support of musculoskeletal rehabilitation
Doubao 1.5 pro possessed competent ability and application prospects, and was assessed as the best LLM for answering musculoskeletal rehabilitation questions. We also demonstrated that the response quality of local-language LLMs was significantly better than that of English LLMs in answering localized language questions.
Authors
- Jingyu He (ORCID: https://orcid.org/0000-0003-0370-8867)
- Xiling Xiao
- Guang Yang (ORCID: https://orcid.org/0000-0001-8942-427X)
- Zhiqiang Yang (ORCID: https://orcid.org/0000-0002-8951-9401)
- Raluca Nan
- Yi Li (ORCID: https://orcid.org/0000-0001-5670-1920)
- Jinru Yang
- Yongchao Wu
- Jialin Zhang
- Xiaoxuan Xia
- Ruikang Liu
- Qiaoling Liu
Institutions
- Wuhan Union Hospital (CN)
- Union Hospital (CN)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2026-02-10
- DOI
- https://doi.org/10.3389/fdgth.2025.1719340
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00