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Articles Published Processes
11/9/2026 4:15:45 AM | Browse: 2 | Download: 0
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Received |
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2026-04-20 08:00 |
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Peer-Review Started |
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2026-04-20 08:00 |
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First Decision by Editorial Office Director |
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2026-05-26 08:34 |
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Return for Revision |
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2026-05-26 08:34 |
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Revised |
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2026-06-15 05:10 |
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Publication Fee Transferred |
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2026-06-24 08:12 |
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Second Decision by Editor |
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2026-06-30 02:41 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-06-30 08:17 |
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Articles in Press |
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2026-06-30 08:17 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-10-25 14:17 |
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Publish the Manuscript Online |
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2026-11-09 04:15 |
| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
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. |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Retrieval-augmented generation models for predicting pathological upgrading in endoscopically resected gastric low-grade intraepithelial neoplasia: A dual-center evaluation
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Qian Zhuang, Jin-Nian Cheng, Yu-Lu Zheng, Shan Wu, Yi-Min Chu, Lu Zhou, Jie Xia, Min Ning, Hai-Xia Peng, Xin-Jian Wan and Zhi-Xia Dong |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| the Shanghai Municipal Health Commission Health Industry Clinical Research Project of China |
20234Y0016 |
| the National Key Research and Development Program of China |
2023YFC2413803 |
| the National Key Research and Development Program of China |
2023YFC2413806 |
| the Shanghai Municipal Health Commission Smart Healthcare Special Research Project of China |
2025ZHYL021 |
| the Emerging Frontier Project of the Shenkang Development Center, China |
SHDC12024124 |
| the Key Discipline Project of the Shanghai Municipal Health System, China |
2024ZDXK0004 |
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| Corresponding Author |
Zhi-Xia Dong, Chief Physician, MD, Professor, Digestive Endoscopic Center, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yi Shan Road, Shanghai 200233, Please enter the state or province, China. dzhixia2013@163.com |
| Key Words |
Large language model; Retrieval-augmented generation; Gastric low-grade intraepithelial neoplasia; Pathological upgrading; Predictive modeling; Endoscopic submucosal dissection; Artificial intelligence; Clinical decision support |
| Core Tip |
This study evaluated a novel retrieval-augmented generation (RAG) -enhanced large language model framework using dual-center data to predict pathological upgrading in gastric low-grade intraepithelial neoplasia. The RAG-enhanced DeepSeek-V3 and Qwen3-235b models achieved areas under the curve of 0.873 [95% confidence interval (95%CI): 0.828-0.901] and 0.862 (95%CI: 0.818-0.893), respectively, demonstrating performance comparable to experienced endoscopists and confirming their potential clinical utility. |
| Publish Date |
2026-11-09 04:15 |
| Citation |
Zhuang Q, Cheng JN, Zheng YL, Wu S, Chu YM, Zhou L, Xia J, Ning M, Peng HX, Wan XJ, Dong ZX. Retrieval-augmented generation models for predicting pathological upgrading in endoscopically resected gastric low-grade intraepithelial neoplasia: A dual-center evaluation. World J Gastroenterol 2027; 33(1): 122422
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| URL |
https://www.wjgnet.com/1007-9327/full/v33/i1/122422.htm |
| DOI |
https://doi.org/10.3748/wjg.122422 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
