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

Digital Health Reviews (1559) Machine Learning (1772) Imaging Informatics (240) Innovations and Technology for Cancer Prevention and Screening (176) Clinical Information and Decision Making (1690) Artificial Intelligence (1781)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69906, first published .
The Application Status of Radiomics-Based Machine Learning in Intrahepatic Cholangiocarcinoma: Systematic Review and Meta-Analysis

The Application Status of Radiomics-Based Machine Learning in Intrahepatic Cholangiocarcinoma: Systematic Review and Meta-Analysis

The Application Status of Radiomics-Based Machine Learning in Intrahepatic Cholangiocarcinoma: Systematic Review and Meta-Analysis

Authors of this article:

Lan Xu1 Author Orcid Image ;   Zian Chen1 Author Orcid Image ;   Dan Zhu2 Author Orcid Image ;   Yingjun Wang3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Lan Xu   1 , BMed ;   Zian Chen   1 , BMed ;   Dan Zhu   2 , BMed ;   Yingjun Wang   3 , MD

1 Department of First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China

2 Dispensary TCM, Quzhou Municipal Hospital of Traditional Chinese Medicine, Quzhou, China

3 Department of Dermatology, Quzhou Municipal Hospital of Traditional Chinese Medicine, Quzhou, China

Corresponding Author:

  • Yingjun Wang, MD
  • Department of Dermatology
  • Quzhou Municipal Hospital of Traditional Chinese Medicine
  • No.117 Quhua Road, Kecheng District
  • Quzhou 324000
  • China
  • Phone: 86 17826819402
  • Email: 17826819402@163.com