Acupuncture clinical decision support system：application of AI technology in acupuncture diagnosis and treatment

ZHANG Shuxin; LI Xinyu; LIU Yanning; HONG Xubo; CHEN Zhenhu; ZHANG Hongda; HONG Jiaming; WANG Nanbu

doi:10.13703/j.0255-2930.20241128-0007

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Acupuncture clinical decision support system：application of AI technology in acupuncture diagnosis and treatment

Acupuncture and Intelligent Medicine | 更新时间：2025-07-17

- Acupuncture clinical decision support system：application of AI technology in acupuncture diagnosis and treatment
- Chinese Acupuncture & Moxibustion Vol. 45, Issue 7, Pages: 875-880(2025)
- 作者机构：
  
  广州中医药大学第一临床医学院，广东广州　510405
  广州中医药大学第一附属医院，广东广州　510405
  广东省中医临床研究院，广州　510405
  吉林大学人工智能学院
  广州中医药大学医学信息工程学院
  中医证候全国重点实验室，广东广州　510000
- 作者简介：
- 基金信息：
- DOI：10.13703/j.0255-2930.20241128-0007
  CLC：
- Received：28 November 2024，
  
  Online First：06 March 2025，
  
  Published：12 July 2025
- 稿件说明：
移动端阅览
ZHANG Shuxin, LI Xinyu, LIU Yanning, et al. Acupuncture clinical decision support system：application of AI technology in acupuncture diagnosis and treatment[J]. Chinese Acupuncture & Moxibustion, 2025, 45(7): 875-880.
DOI：

ZHANG Shuxin, LI Xinyu, LIU Yanning, et al. Acupuncture clinical decision support system：application of AI technology in acupuncture diagnosis and treatment[J]. Chinese Acupuncture & Moxibustion, 2025, 45(7): 875-880. DOI： 10.13703/j.0255-2930.20241128-0007.

摘要

人工智能（AI）技术通过提升针灸诊断的准确性、辅助制定个性化治疗方案及实现疗效评估的科学化与精细化，显著增强了针灸临床决策支持系统（CDSS）的功能。本文深入分析了基于AI的针灸CDSS所展现的独特优势，包括智能化、高效化等特点，同时，也指出了其在发展过程中面临的数据安全性挑战、模型可解释性不足以及跨学科合作复杂性等问题。随着AI技术的不断发展和完善，针灸CDSS有望在个体化医疗、远程治疗以及疾病预防等领域发挥更加重要的作用，进一步提升针灸治疗的效率和效果，推动针灸学的现代化进程，并增强其在全球医疗保健体系中的地位和影响力。

Abstract

Artificial intelligence (AI) technology enhances the function of acupuncture clinical decision support system (CDSS) by promoting the accuracy of its diagnosis

assisting the formulation of personalized therapeutic regimen

and realizing the scientific and precise evaluation of its therapeutic effect. This paper deeply analyzes the unique advantages of AI-based acupuncture CDSS

including the intelligence and high efficiency. Besides

it points out the challenges of data security

the lack of model interpretation and the complexity of interdisciplinary cooperation in the development of acupuncture CDSS. With the continuous development and improvement of AI technology

acupuncture CDSS is expected to play a more important role in the fields of personalized medicine

telemedicine and disease prevention

and to further advance the efficiency and effect of acupuncture treatment

drive the modernization of acupuncture

and enhance its position and influence in the global healthcare system.

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