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Articles Published Processes
10/16/2025 6:50:13 AM | Browse: 208 | Download: 283
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Received |
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2025-08-18 01:47 |
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Peer-Review Started |
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2025-08-18 01:47 |
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First Decision by Editorial Office Director |
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2025-08-25 08:07 |
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Return for Revision |
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2025-08-25 15:37 |
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Revised |
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2025-08-25 16:19 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-09-22 02:45 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-09-22 06:56 |
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Articles in Press |
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2025-09-22 06:56 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-10-09 08:24 |
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Publish the Manuscript Online |
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2025-10-16 06:50 |
| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
| 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 |
Medical Laboratory Technology |
| Manuscript Type |
Editorial |
| Article Title |
Deep learning meets small-bowel capsule endoscopy: A step toward faster and more consistent diagnosis of obscure gastrointestinal bleeding
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Heng-Rui Liu |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Heng-Rui Liu, Tenured Professor, Visiting Professor, Cancer Research Institute, Jinan University, Zhongshan Second Road, Yuexiu District, Tianjin 518000, China. lh@yinuobiomedical.cn |
| Key Words |
Lesion detection; Artificial intelligence; Deep learning; Obscure gastrointestinal bleeding; Capsule endoscopy |
| Core Tip |
Small-bowel capsule endoscopy is invaluable for evaluating obscure gastrointestinal bleeding but remains limited by lengthy review times and interobserver variability. This study introduces a deep learning system that integrates gastrointestinal localization with multi-lesion detection in full-length capsule videos, achieving high accuracy and cutting reading time from nearly an hour to just minutes. By closely mimicking human reading workflow and validating across centers, the work highlights a practical step toward clinically deployable artificial intelligence assistance, with the potential to standardize interpretation and improve efficiency in routine practice. |
| Publish Date |
2025-10-16 06:50 |
| Citation |
Liu HR. Deep learning meets small-bowel capsule endoscopy: A step toward faster and more consistent diagnosis of obscure gastrointestinal bleeding. World J Gastrointest Endosc 2025; 17(10): 113184 |
| URL |
https://www.wjgnet.com/1948-5190/full/v17/i10/113184.htm |
| DOI |
https://dx.doi.org/10.4253/wjge.v17.i10.113184 |
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