95% of researchers rate our articles as excellent or good
Learn more about the work of our research integrity team to safeguard the quality of each article we publish.
Find out more
SYSTEMATIC REVIEW article
Front. Oncol.
Sec. Gastrointestinal Cancers: Colorectal Cancer
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1519144
This article is part of the Research Topic Advances in Medical Imaging for Precision Diagnostic and Therapeutic Applications in Digestive Diseases View all 5 articles
Systematic reviews and Meta-analyses Diagnostic performance of AI-assisted endoscopy diagnosis of digestive system tumors: an umbrella review
Provisionally accepted- Sheng Jing Hospital Affiliated, China Medical University, Shenyang, China
The diagnostic performance of artificial intelligence (AI)-assisted endoscopy for digestive tumors remains controversial. The objective of this umbrella review was to summarize the comprehensive evidence for the AI-assisted endoscopic diagnosis of digestive system tumors. We grouped the evidence according to the location of each digestive system tumor and performed separate subgroup analyses on the basis of the method of data collection and form of the data. We also compared the diagnostic performance of AI with that of experts and nonexperts. For early digestive system cancer and precancerous lesions, AI showed a high diagnostic performance in capsule endoscopy and esophageal squamous cell carcinoma. Additionally, AI-assisted endoscopic ultrasonography (EUS) had good diagnostic accuracy for pancreatic cancer. In the subgroup analysis, AI had a better diagnostic performance than experts for most digestive system tumors. However, the diagnostic performance of AI using video data requires improvement.
Keywords: artificial intelligence, Endoscopy, endoscopic ultrasound, Precancerous lesion, Digestive system tumors
Received: 29 Oct 2024; Accepted: 18 Mar 2025.
Copyright: © 2025 Huang, Song, Dong, Yang, Guo and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Jintao Guo, Sheng Jing Hospital Affiliated, China Medical University, Shenyang, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.