Guideline-driven clinical decision support for colonoscopy patients using the hierarchical multi-label deep learning method.

Journal: Chinese medical journal
Published Date: May 23, 2025

Abstract

BACKGROUND: Over 20 million colonoscopies are performed in China annually. An automatic clinical decision support system (CDSS) with accurate semantic recognition of colonoscopy reports and guideline-based is helpful to relieve the increasing medical burden and standardize the healthcare. In this study, the CDSS was built under a hierarchical-label interpretable classification framework, trained by a state-of-the-art transformer-based model, and validated in a multi-center style.

Authors

  • Junling Wu
    Medical School of Chinese PLA, Beijing 100853, China.
  • Jun Chen
    Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
  • Hanwen Zhang
    Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China.
  • Zhe Luan
    Medical School of Chinese PLA, Beijing 100853, China.
  • Yiming Zhao
    School of Software, Taiyuan University of Technology, Taiyuan, China.
  • Mengxuan Sun
    State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Shufang Wang
    Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
  • Congyong Li
    Sixth Health Care Department, Second Medical Center of PLA General Hospital, Beijing 100853, China.
  • Zhizhuang Zhao
    Department of Geriatrics, Hainan Hospital of PLA General Hospital, Sanya, Hainan 572013, China.
  • Wei Zhang
    The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Yi Chen
    Department of Anesthesiology and Perioperative Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.
  • Jiaqi Zhang
  • Yansheng Li
    DHC Mediway Technology Co., Ltd., Beijing, China.
  • Kejia Liu
    DHC Mediway Technology Co., Ltd., Beijing, China.
  • Jinghao Niu
  • Gang Sun
    Key Laboratory of Oncology of Xinjiang Uyghur Autonomous Region, The Affiliated Cancer Hospital of Xinjiang Medical University, Ürümqi, China.

Keywords

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