Developing the Artificial Intelligence Method and System for “Multiple Diseases Holistic Differentiation” in Traditional Chinese Medicine and Its Interpretability to Clinical Decision
Our method and system, as the general AI technologies for TCM syndromes and patterns diagnosis in multiple diseases, can provide the clinical diagnostic basis with the best performance for the TCM preparations rational use, and distribute interpretability to the clinical decision-making process.
Authors
- Pengfei Nie (ORCID: https://orcid.org/0009-0009-6749-5814)
- Zhiyuan He
- Hui Wang (ORCID: https://orcid.org/0000-0001-9220-0357)
- Chunxiang Liu (ORCID: https://orcid.org/0000-0003-4063-3729)
- Junhua Zhang (ORCID: https://orcid.org/0000-0002-3534-6277)
- Zhe Chen (ORCID: https://orcid.org/0000-0003-1296-3114)
- Fengwen Yang (ORCID: https://orcid.org/0000-0002-0929-459X)
- Genghua Fan (ORCID: https://orcid.org/0000-0002-5396-6138)
- Chenyue Zhang (ORCID: https://orcid.org/0000-0002-5376-0949)
- Dong Zhang (ORCID: https://orcid.org/0000-0002-6522-1918)
Institutions
- Tianjin University of Traditional Chinese Medicine (CN)
- Tianjin University (CN)
- Chinese Academy of Sciences (CN)
- Nankai University (CN)
- Institute of Automation (CN)
- Tianjin haihe hospital (CN)
- National Supercomputing Center of Tianjin (CN)
Publication Details
- Journal
- Journal of Evidence-Based Medicine
- Published
- 2025-04-02
- DOI
- https://doi.org/10.1111/jebm.70016
- Citations
- 2
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.76
Funders
- China Postdoctoral Science Foundation