BPG is committed to discovery and dissemination of knowledge
Featured Articles
7/21/2025 1:11:30 PM | Browse: 23 | Download: 22
 |
Received |
|
2025-03-09 09:39 |
|
Peer-Review Started |
|
2025-03-09 09:39 |
 |
To Make the First Decision |
|
|
|
Return for Revision |
|
2025-04-20 04:00 |
|
Revised |
|
2025-05-02 11:10 |
|
Second Decision |
|
2025-07-01 02:40 |
|
Accepted by Journal Editor-in-Chief |
|
|
|
Accepted by Executive Editor-in-Chief |
|
2025-07-01 03:43 |
|
Articles in Press |
|
2025-07-01 03:43 |
|
Publication Fee Transferred |
|
2025-05-08 03:22 |
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2025-07-15 00:28 |
|
Publish the Manuscript Online |
|
2025-07-21 09:42 |
| ISSN |
1007-9327 (print) and 2219-2840 (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) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| 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 |
Retrospective Study |
| Article Title |
Deep learning-based localization and lesion detection in capsule endoscopy for patients with suspected small-bowel bleeding
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yeong Seok Kwon, Tae Yong Park, So Eui Kim, Yehyun Park, Jae Gon Lee, Sang Pyo Lee, Kyeong Ok Kim, Hyun Joo Jang, Young Joo Yang and Bum-Joo Cho |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| The Bio and Medical Technology Development Program of the National Research Foundation |
NRF-2022R1C1C1010643 |
|
| Corresponding Author |
Young Joo Yang, Assistant Professor, Department of Internal Medicine, Hallym University College of Medicine, 77 Sakju-ro, Chuncheon-si 25253, South Korea. yjyang@hallym.ac.kr |
| Key Words |
Artificial intelligence; Obscure gastrointestinal bleeding; Capsule endoscopy; Detection; Localization; Small bowel |
| Core Tip |
Small-bowel capsule endoscopy (SBCE) is essential for diagnosing obscure gastrointestinal bleeding (OGIB), but its analysis is time-intensive and dependent on the reader's expertise. Despite advancements in artificial intelligence (AI), few models combine accurate SB localization and abnormality detection. We developed an AI model that automatically distinguishes the SB from the stomach and colon and diagnoses SB abnormalities such as erosions/ulcers, angiodysplasia, and bleeding in patients with suspected OGIB. Our AI model significantly decreased SBCE reading time compared to that of conventional reading with comparable performance for SB abnormality detection, demonstrating the efficiency and reliability of AI integration into SBCE reading. |
| Publish Date |
2025-07-21 09:42 |
| Citation |
<p>Kwon YS, Park TY, Kim SE, Park Y, Lee JG, Lee SP, Kim KO, Jang HJ, Yang YJ, Cho BJ. Deep learning-based localization and lesion detection in capsule endoscopy for patients with suspected small-bowel bleeding. <i>World J Gastroenterol</i> 2025; 31(27): 106819</p> |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i27/106819.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i27.106819 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
