Beyond transparency: why Traditional Chinese Medicine (TCM) need explainable artificial intelligence (XAI).

Zheng W, Tong Y, Huang J, Zhu L, Chai J

DOI: 10.1186/s13020-026-01455-4
Published: 2026 Jul 14
Container: Chinese medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s13020-026-01455-4,
  title = {Beyond transparency: why Traditional Chinese Medicine (TCM) need explainable artificial intelligence (XAI).},
  author = {Zheng W and Tong Y and Huang J and Zhu L and Chai J},
  year = {2026},
  journal = {Chinese medicine},
  doi = {10.1186/s13020-026-01455-4},
  url = {https://doi.org/10.1186/s13020-026-01455-4}
}

RIS

TY  - JOUR
TI  - Beyond transparency: why Traditional Chinese Medicine (TCM) need explainable artificial intelligence (XAI).
AU  - Zheng W
AU  - Tong Y
AU  - Huang J
AU  - Zhu L
AU  - Chai J
PY  - 2026
JO  - Chinese medicine
DO  - 10.1186/s13020-026-01455-4
UR  - https://doi.org/10.1186/s13020-026-01455-4
ER  -

APA

W, Z., Y, T., J, H., L, Z., & J, C. (2026). Beyond transparency: why Traditional Chinese Medicine (TCM) need explainable artificial intelligence (XAI).. Chinese medicine. https://doi.org/10.1186/s13020-026-01455-4

Source records

pubmed · retrieved 2026-09-25T16:51:00.416Z