BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
4/13/2026 7:23:22 AM | Browse: 28 | Download: 72
 |
Received |
|
2025-12-22 07:51 |
|
Peer-Review Started |
|
2025-12-22 07:51 |
|
First Decision by Editorial Office Director |
|
2025-12-30 07:23 |
|
Return for Revision |
|
2025-12-30 07:23 |
|
Revised |
|
2026-01-11 12:22 |
|
Publication Fee Transferred |
|
2026-01-13 14:32 |
|
Second Decision by Editor |
|
2026-03-03 02:37 |
 |
Second Decision by Editor-in-Chief |
|
|
|
Final Decision by Editorial Office Director |
|
2026-03-03 08:24 |
|
Articles in Press |
|
2026-03-03 08:24 |
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2026-04-01 07:17 |
|
Publish the Manuscript Online |
|
2026-04-13 07:23 |
| ISSN |
1948-5190 (online) |
| 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: http://creativecommons.org/Licenses/by-nc/4.0/ |
| 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
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| 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 |
Minireviews |
| Article Title |
Artificial intelligence in endoscopic ultrasound: Clinical translation of a prediction, navigation, and diagnosis framework
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Zhi-Yuan Chen, Yao-Qi Wang, Xian-Zheng Tan, Peng Liu and Ya Peng |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| General Program of Hunan Provincial Natural Science Foundation |
No. 2025JJ50695 |
|
| Corresponding Author |
Ya Peng, Chief Physician, Department of Gastroenterology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, No. 61 Jiefang West Road, Furong District, Changsha 410005, Hunan Province, China. pengya123@hunnu.edu.cn |
| Key Words |
Endoscopic ultrasound; Artificial intelligence; Computer-aided diagnosis; Real-time navigation; Fine-needle aspiration |
| Core Tip |
This article proposes an artificial intelligence-powered “Prediction-Navigation-Diagnosis” framework for endoscopic ultrasound. It highlights how artificial intelligence improves preoperative risk stratification, reduces intraoperative missed detections (about 10%) via real-time navigation, and enhances diagnostic accuracy. Key challenges for clinical adoption - data heterogeneity, high costs, and unclear regulations - are summarized, with future success hinging on multimodal integration and adaptive policies. |
| Publish Date |
2026-04-13 07:23 |
| Citation |
Chen ZY, Wang YQ, Tan XZ, Liu P, Peng Y. Artificial intelligence in endoscopic ultrasound: Clinical translation of a prediction, navigation, and diagnosis framework. World J Gastrointest Endosc 2026; 18(4): 117976 |
| URL |
https://www.wjgnet.com/1948-5190/full/v18/i4/117976.htm |
| DOI |
https://dx.doi.org/10.4253/wjge.v18.i4.117976 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.
