RTPhy‐ChatBot: A RAG‐Based intelligent assistant for radiotherapy physics using LLaMA3 and AAPM reports
RTPhy-ChatBot proved to be an effective intelligent assistant for radiotherapy physics, delivering accurate, referenced responses grounded in AAPM publications. Despite lacking online access, it matched or exceeded the performance of commercial LLMs in domain-specific tasks. This pilot study highlights the potential of domain-specific assistants in supporting clinical workflows.
Authors
- Shuoyang Wei
- Lang Yu
- Bo Yang (ORCID: https://orcid.org/0000-0002-6156-8957)
- Ankang Hu (ORCID: https://orcid.org/0009-0002-8510-8186)
- Xiangyin Meng (ORCID: https://orcid.org/0000-0002-8415-7974)
- Zhiqun Wang
- Jie Qiu
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1002/acm2.70263
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65
Funders
- Ministry of Science and Technology of the People's Republic of China
- Peking Union Medical College Hospital