Overview of Artificial Intelligence Applications in Chinese Medicine Therapy. (17th March 2021)
- Record Type:
- Journal Article
- Title:
- Overview of Artificial Intelligence Applications in Chinese Medicine Therapy. (17th March 2021)
- Main Title:
- Overview of Artificial Intelligence Applications in Chinese Medicine Therapy
- Authors:
- Feng, Chuwen
Zhou, Shuoyan
Qu, Yuanyuan
Wang, Qingyong
Bao, Shengyong
Li, Yang
Yang, Tiansong - Other Names:
- Si Wen Academic Editor.
- Abstract:
- Abstract : To evaluate the importance of AI technologies in modernizing traditional Chinese medicine (TCM) therapy, this article presents the systematic review of the relevant literature and explains the beneficial effects of AI technology on the TCM treatment outcomes from the experience of famous and veteran Chinese medicines, including acupuncture, Tui Na massage, and Qigong practitioners. This study also focuses on the urgent necessity to apply AI technologies to develop therapeutic models on the theme "treating the disease before it happens." Furthermore, the study also discusses the major bottlenecks and future prospects for the development of intelligent TCM treatment strategies.
- Is Part Of:
- Evidence-based complementary and alternative medicine. Volume 2021(2021)
- Journal:
- Evidence-based complementary and alternative medicine
- Issue:
- Volume 2021(2021)
- Issue Display:
- Volume 2021, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 2021
- Issue:
- 2021
- Issue Sort Value:
- 2021-2021-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-03-17
- Subjects:
- Alternative medicine -- Periodicals
615.505 - Journal URLs:
- http://ecam.oupjournals.org ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/241/ ↗
http://www.hindawi.com/journals/ecam/ ↗ - DOI:
- 10.1155/2021/6678958 ↗
- Languages:
- English
- ISSNs:
- 1741-427X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3831.036630
British Library HMNTS - ELD Digital store - Ingest File:
- 16409.xml