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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Oncol. Oct 15, 2025; 17(10): 111367
Published online Oct 15, 2025. doi: 10.4251/wjgo.v17.i10.111367
Published online Oct 15, 2025. doi: 10.4251/wjgo.v17.i10.111367
Artificial intelligence in the diagnosis and prognosis of intrahepatic cholangiocarcinoma: Applications and challenges
Liang Qiao, Yu-Gang Luo, Tian Yuan, Meng Xu, Guang-Bing Xiong, Feng Zhu, Department of Biliopancreatic Surgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China
Qing-Ying Wang, Department of Gynecology and Obstetrics, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China
Co-first authors: Liang Qiao and Yu-Gang Luo.
Co-corresponding authors: Guang-Bing Xiong and Feng Zhu.
Author contributions: Qiao L and Luo YG made equal contributions to this work as co-first authors; Xiong GB and Zhu F guided the development of the structure and content of the manuscript, and made equal contributions to the work as co-corresponding authors; Qiao L completed the main part of the writing; Luo YG, Wang QY, Yuan T, and Xu M jointly completed the remaining part of the writing; Luo YG and Wang QY prepared the illustrations and tables, respectively; and all authors approved to submit the manuscript.
Supported by National Natural Science Foundation of China, No. 81902499 and No. 81874205; and Key Research Project of Tongji Hospital Scientific Research Fund, No. 2023A18.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Guang-Bing Xiong, MD, Associate Chief Physician, Department of Biliopancreatic Surgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan 430030, Hubei Province, China.
Received: June 30, 2025
Revised: July 22, 2025
Accepted: September 18, 2025
Published online: October 15, 2025
Processing time: 108 Days and 16.6 Hours
Revised: July 22, 2025
Accepted: September 18, 2025
Published online: October 15, 2025
Processing time: 108 Days and 16.6 Hours
Core Tip
Core Tip: The emergence of artificial intelligence (AI) has introduced new possibilities for improving the poor prognosis associated with intrahepatic cholangiocarcinoma. This review summarizes recent advances in AI applications related to the diagnosis, differential diagnosis, and prediction of recurrence risk factors, early recurrence, survival, and treatment response in intrahepatic cholangiocarcinoma. Additionally, the numerous challenges associated with AI development are discussed, including nascent legal frameworks, vulnerabilities in data privacy protection, and a lack of empirical research in clinical settings.