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Articles Published Processes
4/13/2026 7:23:22 AM | Browse: 0 | Download: 0
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Received |
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2025-12-22 07:51 |
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Peer-Review Started |
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2025-12-22 07:51 |
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First Decision by Editorial Office Director |
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2025-12-30 07:23 |
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Return for Revision |
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2025-12-30 07:23 |
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Revised |
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2026-01-11 12:22 |
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Publication Fee Transferred |
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2026-01-13 14:32 |
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Second Decision by Editor |
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2026-03-03 02:37 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-03-03 08:24 |
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Articles in Press |
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2026-03-03 08:24 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-04-01 07:17 |
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Publish the Manuscript Online |
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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
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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 |
Minireviews |
| Article Title |
Artificial intelligence in endoscopic ultrasound: Clinical translation of a prediction, navigation, and diagnosis framework
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Zhi-Yuan Chen, Yao-Qi Wang, Xian-Zheng Tan, Peng Liu and Ya Peng |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| General Program of Hunan Provincial Natural Science Foundation |
No. 2025JJ50695 |
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| 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 |
© 1993-2026 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
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