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Articles Published Processes
6/12/2025 3:45:49 AM | Browse: 50 | Download: 293
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Received |
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2025-03-19 11:23 |
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Peer-Review Started |
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2025-03-19 11:23 |
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First Decision by Editorial Office Director |
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2025-04-08 07:12 |
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Return for Revision |
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2025-04-08 07:12 |
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Revised |
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2025-04-11 22:58 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-04-23 02:39 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-04-23 05:36 |
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Articles in Press |
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2025-04-23 05:36 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-05-30 03:36 |
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Publish the Manuscript Online |
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2025-06-12 03:45 |
| 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
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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 |
Oncology |
| Manuscript Type |
Letter to the Editor |
| Article Title |
Clinical implications of a machine learning model predicting colorectal polyp recurrence after endoscopic mucosal resection
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yoshinori Kagawa |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Yoshinori Kagawa, Chief Physician, MD, PhD, Department of Gastroenterological Surgery, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka 541-8567, Japan. yoshinori.kagawa@oici.jp |
| Key Words |
Colorectal polyps; Machine learning; Risk prediction; Endoscopic mucosal resection; Precision medicine |
| Core Tip |
This predictive model notably enhanced clinical decision-making for colorectal polyp surveillance, demonstrating high accuracy and ease of clinical implementation through a user-friendly online risk calculator. Although promising, its real-world utility depends on external validation, clinician training, and integration with the existing clinical guidelines. |
| Publish Date |
2025-06-12 03:45 |
| Citation |
Kagawa Y. Clinical implications of a machine learning model predicting colorectal polyp recurrence after endoscopic mucosal resection. World J Gastroenterol 2025; 31(22): 107197 |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i22/107197.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i22.107197 |
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