Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Gastroenterol. Jan 21, 2027; 33(3): 125206
Published online Jan 21, 2027. doi: 10.3748/wjg.125206
Published online Jan 21, 2027. doi: 10.3748/wjg.125206
Deep learning for predicting high-grade dysplasia in colorectal polyps using white-light endoscopy
Yue Zhang, Shuang Yan, Li-Juan Wei, Department of Gastroenterology and Digestive Endoscopy Center, The Second Hospital of Jilin University, Changchun 130000, Jilin Province, China
Ying-Jie Li, Department of Gastroenterology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, Liaoning Province, China
Qian-Xun Li, Department of Gastroenterology, Jilin Provincial People’s Hospital, Changchun 130000, Jilin Province, China
Author contributions: Zhang Y and Wei LJ designed and analyzed the study; Li QX and Li YJ critically revised the article for important intellectual content; Yan S approved the final manuscript. All authors contributed to the article and approved the submitted version.
AI contribution statement: Not applicable.
Institutional review board statement: This study was approved by the Medical Ethics Committee of the Second Hospital of Jilin University, No. 2025-471-1.
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
Data sharing statement: The datasets and source code are available from the corresponding author upon reasonable request.
Corresponding author: Li-Juan Wei, MD, PhD, Director, Full Professor, Department of Gastroenterology and Digestive Endoscopy Center, The Second Hospital of Jilin University, No. 218 Ziqiang Street, Nanguan District, Changchun 130000, Jilin Province, China.
Received: July 3, 2026
Revised: July 31, 2026
Accepted: September 20, 2026
Published online: January 21, 2027
Processing time: 138 Days and 5.2 Hours
Revised: July 31, 2026
Accepted: September 20, 2026
Published online: January 21, 2027
Processing time: 138 Days and 5.2 Hours
Core Tip
Core Tip: We developed and externally validated a deep learning model based on routine white-light endoscopy for predicting high-grade dysplasia in colorectal polyps. The model maintained stable performance across two independent external cohorts and achieved diagnostic accuracy comparable to experienced endoscopists. Because it relies only on routinely acquired white-light images, the proposed approach may facilitate broad clinical implementation as a decision-support tool for colorectal polyp risk stratification.