Artificial intelligence in acupuncture: bridging traditional knowledge and precision integrative medicine.
- 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.
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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
- pubmed · retrieved 2026-09-26T06:56:23.149Z
- europe-pmc · retrieved 2026-09-26T06:56:23.159Z
- doaj · retrieved 2026-09-26T06:56:23.145Z