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Articles Published Processes
4/27/2025 3:54:35 AM | Browse: 4 | Download: 10
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Received |
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2025-03-18 14:59 |
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Peer-Review Started |
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2025-03-18 15:00 |
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To Make the First Decision |
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Return for Revision |
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2025-03-26 02:11 |
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Revised |
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2025-03-30 02:20 |
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Second Decision |
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2025-04-17 02:47 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-04-17 06:12 |
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Articles in Press |
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2025-04-17 06:12 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-04-21 03:34 |
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Publish the Manuscript Online |
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2025-04-27 03:54 |
| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
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 |
© 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Editorial |
| Article Title |
Artificial intelligence in liver cancer surgery: Predicting success before the first incision
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Shu-Yen Chan and Patrick Twohig |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Patrick Twohig, Assistant Professor, FRCPC, Department of Gastroenterology & Hepatology, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14682, United States. patrick_twohig@urmc.rochester.edu |
| Key Words |
Intrahepatic cholangiocarcinoma; Artificial intelligence; Machine learning; Surgery; Cancer |
| Core Tip |
Machine learning is revolutionizing surgical planning for intrahepatic cholangiocarcinoma by enabling preoperative prediction of “textbook outcomes” through interpretable artificial intelligence models. This approach enhances precision in patient selection, optimizes surgical strategies, and reduces unnecessary procedures, paving the way for more personalized hepatobiliary oncology care. |
| Publish Date |
2025-04-27 03:54 |
| Citation |
<p>Chan SY, Twohig P. Artificial intelligence in liver cancer surgery: Predicting success before the first incision. <i>World J Gastroenterol</i> 2025; 31(16): 107221</p> |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i16/107221.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i16.107221 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
