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

Digital Health Reviews (1724) Artificial Intelligence (2129) Health Services Research in Oncology (60) Computer-Aided Diagnosis (251) Imaging Informatics (302) Medical imaging (110) Gastroenterology and Hepatology (127)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78306, first published .
Diagnostic Performance of Computed Tomography–Based Artificial Intelligence for Early Recurrence of Cholangiocarcinoma: Systematic Review and Meta-Analysis

Diagnostic Performance of Computed Tomography–Based Artificial Intelligence for Early Recurrence of Cholangiocarcinoma: Systematic Review and Meta-Analysis

Diagnostic Performance of Computed Tomography–Based Artificial Intelligence for Early Recurrence of Cholangiocarcinoma: Systematic Review and Meta-Analysis

Authors of this article:

Jie Chen1 Author Orcid Image ;   Jianxin Xi2 Author Orcid Image ;   Tianyu Chen3 Author Orcid Image ;   Lulu Yang1 Author Orcid Image ;   Kaijia Liu1 Author Orcid Image ;   Xiaobo Ding1 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Jie Chen   1 , MM ;   Jianxin Xi   2 , MM ;   Tianyu Chen   3 , MM ;   Lulu Yang   1 , MM ;   Kaijia Liu   1 , MM ;   Xiaobo Ding   1 , MD

1 Department of Radiology, The First Hospital of Jilin University, Jilin, China

2 General Surgery Center, Department of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, Changchun, China

3 Department of Urology, The First Hospital of Jilin University, Changchun, China

Corresponding Author:

  • Xiaobo Ding, MD
  • Department of Radiology
  • The First Hospital of Jilin University
  • 71 Xinmin Street, Chaoyang District, Changchun City
  • Jilin 130000
  • China
  • Phone: 86 15804300156
  • Email: Dingxiaobo_2008@126.com