Artificial intelligence guided acupuncture decision making and treatment: a review of research
Year: 2026
Type: article
Abstract: Artificial intelligence (AI) is increasingly applied in clinical acupuncture to modernize diagnosis and treatment. By addressing critical gaps in traditional practice, such as the lack of objective standardization in acupoint selection, reliance on subjective practitioner experience for localization, insufficient real-time safety monitoring, and the need for personalized efficacy prediction-AI offers significant clinical value. This paper reviews the application of AI in acupuncture across these four key areas. We summarize existing research and provide recommendations to guide the future development of intelligent acupuncture systems.
Source: Frontiers in Medicine
Institution: Changchun University of Chinese Medicine
Language: English
Subfield: Complementary and alternative medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
Award: G3287648783
OpenAlex ID: W7156236364