Predicting acupuncture efficacy for neck pain based on functional connectivity features: a machine learning study.

Journal: Annals of medicine
Published Date: Aug 22, 2025

Abstract

OBJECTIVE: To explore the mechanisms of acupuncture-induced neck pain relief and identify appropriate candidates using neuroimaging and machine learning techniques.

Authors

  • Zhen Gao
    Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Mengjie Cui
    Second Clinical College, Shanxi University of CM, Taiyuan 030024.
  • Cheng Xu
    School of Photovoltaic and Renewable Energy Engineering, University of New South Wales, 2052 Sydney, Australia.
  • Haijun Wang
    Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Yanlin Zhang
    Department of Mathematics, Faculty of Science and Technology, University of Macau, Macau, 999078, China. Electronic address: yanlnzhang@163.com.
  • Laixi Ji
    Second Clinical College, Shanxi University of CM, Taiyuan 030024.

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