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This paper is in the following e-collection/theme issue:

Machine Learning (3300) Clinical Information and Decision Making (3845) Innovations and Technology for Cancer Prevention and Screening (272) Colon and Rectal Cancer (85) Applications of AI (1053)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/89422, first published .
Dentist using tablet for digital dental records in a modern clinic

Development of an Interpretable Triage Tool for Colorectal Polyp Risk Stratification Within a Population-Based Screening Program: Machine Learning Approach

Development of an Interpretable Triage Tool for Colorectal Polyp Risk Stratification Within a Population-Based Screening Program: Machine Learning Approach

Authors of this article:

Zhenmiao Ye1 Author Orcid Image ;   Jiajin Li2 Author Orcid Image ;   Yimin Xie1 Author Orcid Image ;   Qian Li2 Author Orcid Image ;   Yilun Huang2 Author Orcid Image ;   Guohua Zhang3 Author Orcid Image ;   Xue Yang2 Author Orcid Image
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Zhenmiao Ye   1 * , Msc ;   Jiajin Li   2 * , MPH ;   Yimin Xie   1 , BSc ;   Qian Li   2 , PhD ;   Yilun Huang   2 , MSc ;   Guohua Zhang   3 , PhD ;   Xue Yang   2 , PhD

1 Wenzhou Center for Disease Control and Prevention (Wenzhou Health Supervision Institution), Wenzhou, China

2 Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, China (Hong Kong)

3 Department of Psychology, Wenzhou Medical University, Wenzhou, Zhejiang, China

*these authors contributed equally

Corresponding Author:

  • Xue Yang, PhD
  • Faculty of Medicine
  • Chinese University of Hong Kong
  • 5/F, JC School of Public Health and Primary Care
  • Hong Kong
  • China (Hong Kong)
  • Phone: 852 2252-8412
  • Email: sherryxueyang@cuhk.edu.hk