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

Reviews in Medical Informatics (112) Machine Learning (2074) Colon and Rectal Cancer (50) Imaging Informatics (302) Clinical Information and Decision Making (1914) Decision Support for Health Professionals (1538) Secondary Use of Clinical Data for Research and Surveillance (474)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78644, first published .
Predictive Performance of Radiomics-Based Machine Learning for Colorectal Cancer Recurrence Risk: Systematic Review and Meta-Analysis

Predictive Performance of Radiomics-Based Machine Learning for Colorectal Cancer Recurrence Risk: Systematic Review and Meta-Analysis

Predictive Performance of Radiomics-Based Machine Learning for Colorectal Cancer Recurrence Risk: Systematic Review and Meta-Analysis

Authors of this article:

Yuan Sun1, 2 Author Orcid Image ;   Bo Li3 Author Orcid Image ;   Chuanlan Ju4 Author Orcid Image ;   Liming Hu5 Author Orcid Image ;   Huiyi Sun6 Author Orcid Image ;   Jing An7 Author Orcid Image ;   Tae-Hun Kim8 Author Orcid Image ;   Zhijun Bu1 Author Orcid Image ;   Zeyang Shi1 Author Orcid Image ;   Jianping Liu1 Author Orcid Image ;   Zhaolan Liu1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yuan Sun   1, 2 , PhD ;   Bo Li   3 , MMed ;   Chuanlan Ju   4 , MMed ;   Liming Hu   5 , MMed ;   Huiyi Sun   6 , PhD ;   Jing An   7 , PhD ;   Tae-Hun Kim   8 , PhD ;   Zhijun Bu   1 , PhD ;   Zeyang Shi   1 , MMed ;   Jianping Liu   1 , PhD ;   Zhaolan Liu   1 , PhD

1 Centre for Evidence-based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China

2 Department of Public Health, Shandong College of Traditional Chinese Medicine, Yantai, China

3 Preventive Medicine Association, Yantai Center for Disease Control and Prevention, Yantai, China

4 Department of Public Health, Yantai Hospital of Traditional Chinese Medicine, Yantai, China

5 Department of Spleen, Stomach, Liver and Gallbladder, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China

6 Department of Spleen, Stomach, Liver and Gallbladder, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China

7 Department of Spleen and Stomach, The Third Affiliated Hospital of Beijing University of Chinese Medicine, Beijing, China

8 Korean Medicine Clinical Trial Center, Kyung Hee University Korean Medicine Hospital, Seoul, Republic of Korea

Corresponding Author:

  • Zhaolan Liu, PhD
  • Centre for Evidence-based Chinese Medicine
  • Beijing University of Chinese Medicine
  • No.11 East Beisanhuan Road, Heping Street, Chaoyang District
  • Beijing 100029
  • China
  • Phone: 8613552999260
  • Email: lzl1019@163.com