Artificial intelligence guided acupuncture decision making and treatment: a review of research

Frontiers in Medicine 2026 Open access

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Authors: Ru Nie, Kaiyue Deng, Jing He, Jialin Jia, Hongye Wang, Shuting Yuan, Tie Li
DOI: 10.3389/fmed.2026.1752082
Cited by: 1
References: 81

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.

Fields of Study & Subjects

Acupuncture Treatment Research Studies Planarian Biology and Electrostimulation Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Frontiers in Medicine
Publisher
Frontiers Media SA
Volume
13
Pages
1752082–1752082
Publication date
27 April 2026
Language
EN