[Construction of an artificial intelligence-assisted system for auxiliary detection of auricular point features based on the YOLO neural network].

Journal: Zhongguo zhen jiu = Chinese acupuncture & moxibustion
Published Date:

Abstract

OBJECTIVE: To develop an artificial intelligence-assisted system for the automatic detection of the features of common 21 auricular points based on the YOLOv8 neural network.

Authors

  • Ganhong Wang
    Department of Gastroenterology, Changshu Traditional Chinese Medicine Hospital (New District Hospital), Suzhou, 215500, China.
  • Zihao Zhang
    Institute for Hospital Management, Tsinghua University, Beijing, China.
  • Kaijian Xia
    Intelligent Medical Technology Research Center, Changshu Hospital Affiliated to Soochow University, Changshu, China.
  • Yanting Zhou
    Department of Gastroenterology, Changshu Hospital of TCM, Changshu 215500, Jiangsu Province, China.
  • Meijuan Xi
    Department of Gastroenterology, Changshu Hospital of TCM, Changshu 215500, Jiangsu Province, China.
  • Jian Chen
    School of Pharmacy, Shanghai Jiaotong University, Shanghai, China.