Science & Technology Review
|
2023, 41(14): 51-55
• Exclusive:Real world clinical research of Traditional Chinese Medicine •
Advancement at the forefront: Exploring computational acupuncture
Full
GUO Yi1,2,3, WANG Jiang4, LIU Baoyan5, CHEN Bo1,2,3, GUO Yang2,6, XU Yuan1,2,3
Affiliations
1. Experimental Acupuncture Research Center, Tianjin University of Chinese Medicine, Tianjin 301617, China
2. National Clinical Research Center of Acupuncture and Moxibustion of Traditional Chinese Medicine, Tianjin 300193, China
3. Tianjin Key Laboratory of Innovative and Translational TCM Theory, Tianjin 301617, China
4. School of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China
5. China Academy of Chinese Medical Sciences, Beijing 100700, China
6. The First Affiliated Hospital of Tianjin University of Chinese Medicine, Tianjin 300193, China
Published: 2023-07-28
doi: 10.3981/j.issn.1000-7857.2023.14.006
Outline
The rapid development of information technology has accumulated massive data for acupuncture research, but the characteristics and laws behind these data have not yet been systematically and deeply excavated and researched, restricting the development of acupuncture to a certain extent. In response to the above problems, we first put forward the concept of "computational acupuncture", which integrates traditional acupuncture and computational science. Taking acupuncture as the research object, data as the driving force, and calculation as the approach, we revealed the law and mechanism of acupuncture, in order to guide clinical practice and improve clinical efficacy. This paper reviewed the significance of the establishment of computational acupuncture, the characteristics of computational acupuncture, the challenges and suggestions currently faced with, and scientifically explained the connotation and future development trend of computational acupuncture, which can serve as a reference for the high-quality innovative development of computational acupuncture.
acupuncture
/
big data
/
computational science
/
information science
/
computational acupuncture
GUO Yi, WANG Jiang, LIU Baoyan, CHEN Bo, GUO Yang, XU Yuan.
Advancement at the forefront: Exploring computational acupuncture[J].
Science & Technology Review,
2023
, 41
(14)
: 51
-55
.
DOI: 10.3981/j.issn.1000-7857.2023.14.006
Year 2023 volume 41 Issue 14
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822
203
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2023.14.006
- Receive Date:2023-02-03
- Online Date:2023-08-15
- Published:2023-07-28