Developing the Artificial Intelligence Method and System for "Multiple Diseases Holistic Differentiation" in Traditional Chinese Medicine and Its Interpretability to Clinical Decision.

Journal: Journal of evidence-based medicine
Published Date: Jun 1, 2025

Abstract

AIM: The development of artificial intelligence (AI) for traditional Chinese medicine (TCM) has played an important role in clinical decision-making, mainly reflected in the intersectionality and variability of symptoms, syndromes, and patterns for TCM multiple diseases holistic differentiation (MDHD). This study aimed to develop a TCM AI method and system for clinical decisions more transparent with explainable structural framework.

Authors

  • Zhe Chen
    Evidence-based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
  • Dong Zhang
    Institute of Acoustics, Nanjing University, Nanjing 210093, China.
  • Pengfei Nie
    National Super Computer Center in Tianjin, Tianjin, China.
  • Guanhao Fan
    National Key Laboratory for Multi-Modal Artificial Intelligence Systems, Institute of Automation of the Chinese Academy of Sciences, Beijing, China.
  • Zhiyuan He
    Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China.
  • Hui Wang
    Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Chenyue Zhang
    School of Statistics and Data Science, Nankai University, Tianjin, China.
  • Fengwen Yang
    Evidence-based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
  • Chunxiang Liu
    Evidence-based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
  • Junhua Zhang
    Evidence-based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.

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