WHO global research priorities for traditional, complementary, and integrative (TCI) medicine: an international consensus and comparisons with LLMs
We established a global, expert-informed research agenda to guide the future direction of TCI medicine and ensure alignment with public health needs. The comparison with LLMs highlights the complementary potential of artificial intelligence in research governance and agenda-setting.
Authors
- Peige Song (ORCID: https://orcid.org/0000-0002-0196-9759)
- Denan Jiang
- Igor Rudan (ORCID: https://orcid.org/0000-0001-6993-6884)
- Sangyoung Ahn
- Yajie Zhu (ORCID: https://orcid.org/0000-0003-2490-9609)
- Jiali Zhou (ORCID: https://orcid.org/0000-0001-5015-3222)
- Steven Kerr (ORCID: https://orcid.org/0000-0002-3643-7859)
Institutions
- Zhejiang International Studies University (CN)
- Hangzhou Normal University (CN)
- University of Oxford (GB)
- National Development Institute of Korean Medicine (KR)
- Second Affiliated Hospital of Zhejiang University (CN)
- University of Edinburgh (GB)
Publication Details
- Journal
- Journal of Global Health
- Published
- 2025-11-13
- DOI
- https://doi.org/10.7189/jogh.15.04336
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65