Artificial intelligence in acupuncture: bridging traditional knowledge and precision integrative medicine.

Hou GL, Dong BQ, Yu BX, Dai JY, Lin XX, Cheng ZZ

Open source

DOI
10.3389/fmed.2025.1633416
Published
2025
Container
Frontiers in medicine
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/fmed.2025.1633416,
  title = {Artificial intelligence in acupuncture: bridging traditional knowledge and precision integrative medicine.},
  author = {Hou GL and Dong BQ and Yu BX and Dai JY and Lin XX and Cheng ZZ},
  year = {2025},
  journal = {Frontiers in medicine},
  doi = {10.3389/fmed.2025.1633416},
  url = {https://doi.org/10.3389/fmed.2025.1633416}
}

RIS

TY  - JOUR
TI  - Artificial intelligence in acupuncture: bridging traditional knowledge and precision integrative medicine.
AU  - Hou GL
AU  - Dong BQ
AU  - Yu BX
AU  - Dai JY
AU  - Lin XX
AU  - Cheng ZZ
PY  - 2025
JO  - Frontiers in medicine
DO  - 10.3389/fmed.2025.1633416
UR  - https://doi.org/10.3389/fmed.2025.1633416
ER  - 

APA

GL, H., BQ, D., BX, Y., JY, D., XX, L., & ZZ, C. (2025). Artificial intelligence in acupuncture: bridging traditional knowledge and precision integrative medicine.. Frontiers in medicine. https://doi.org/10.3389/fmed.2025.1633416

Source records