Potential Applications,Challenges and Prospect of Reinforcement Learning in Acupuncture Clinical Research
- VernacularTitle:强化学习在针刺临床研究中的潜在应用、挑战与展望
- Author:
Chen CHEN
1
;
Jingchun ZENG
;
Liming LU
Author Information
- Publication Type:Journal Article
- Keywords: Reinforcement learning; Acupuncture; Clinical research; Outlook
- From: World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(5):1201-1206
- CountryChina
- Language:Chinese
- Abstract: With the rapid evolution of artificial intelligence,machine learning has become widely applied in the realm of acupuncture clinical research.However,in comparison to the extensive utilization of supervised and unsupervised learning,attempts at employing reinforcement learning in the field of acupuncture clinical research remain relatively limited.In this article,we briefly introduce the concept and process of reinforcement learning,elucidating distinctions from both supervised and unsupervised learning.Then we discuss the potential applications of reinforcement learning in acupuncture clinical research,and summarizes the challenges that may arise during its implementation.Furthermore,a preliminary discussion on potential solutions to these issues is presented.Finally,a contemplation is offered on the combination of reinforcement learning with acupuncture clinical research,anticipating a meaningful reference for the advancement of reinforcement learning in the exploration and application within acupuncture clinical research and practice.
