Developing a transparent reporting tool for AI-based diagnostic prediction models of disease and syndrome in Chinese medicine: a Delphi protocol.

Journal: Frontiers in digital health
Published Date:

Abstract

INTRODUCTION: The application of artificial intelligence in diagnostic prediction models for diseases and syndromes in Chinese Medicine (CM) has been rapidly expanding, accompanied by a significant increase in related research publications. However, existing reporting guidelines for diagnostic prediction models are primarily tailored to Western medicine, which differs fundamentally from CM in its theoretical framework, terminology, and classification systems. To address this gap, it is essential to establish a transparent and standardized reporting tool specifically designed for CM diagnostic and syndrome prediction models. This will enhance the transparency, reproducibility, and clinical relevance of research findings in this emerging field.

Authors

  • Jieyun Li
    School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Wei Song Seetoh
    School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.
  • Jiekee Lim
    School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Xin'ang Xiao
    School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Kehu Yang
    Department of Evidence-Based Medicine Centre, School of Basic Medical Science, Lanzhou University, Lanzhou, Gansu, China.
  • Si Yong Yeo
    MedVisAl Lab, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
  • Boyun Sun
    Department of Gastroenterology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Jinhua Liu
    Key Laboratory of Flexible Electronics (KLOFE) and Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, P. R. China.
  • Zhaoxia Xu
    Comprehensive Laboratory of Four Diagnostic Methods, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
  • Linda L D Zhong
    Lab of Brain and Gut Research, School of Chinese Medicine, Hong Kong Baptist University, 7 Baptist University Road, Hong Kong, People's Republic of China.

Keywords

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