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Articles Published Processes
9/15/2026 7:51:35 AM | Browse: 3 | Download: 3
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Received |
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2026-01-27 00:33 |
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Peer-Review Started |
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2026-01-27 00:35 |
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First Decision by Editorial Office Director |
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2026-02-03 07:44 |
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Return for Revision |
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2026-02-03 07:44 |
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Revised |
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2026-02-05 21:56 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-06-01 02:34 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-06-01 07:16 |
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Articles in Press |
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2026-06-01 07:16 |
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Edit the Manuscript by Language Editor |
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2026-06-07 20:45 |
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Typeset the Manuscript |
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2026-09-07 03:45 |
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Publish the Manuscript Online |
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2026-09-15 07:51 |
| ISSN |
1948-9366 (online) |
| Open Access |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Opinion Review |
| Article Title |
Bridging artificial intelligence and clinical decision-making in gastric cancer surgery
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Mehmet T Ormeci, Duygu Kirkik and Erkam Tulubas |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Duygu Kirkik, Assistant Professor, Department of Immunology, Hamidiye Medicine Faculty, University of Health Sciences, Mekteb-i Tıbbiyye-i Sahane (Haydarpasa) Kulliyesi Selimiye Mah Tıbbiye Cad No. 38, Istanbul 34668, Türkiye. dygkirkik@gmail.com |
| Key Words |
Gastric cancer; Postoperative survival; Prognostic model; Machine learning; Surgical oncology |
| Core Tip |
Artificial intelligence has impact on gastric cancer surgery in several ways. It can improve the risk prediction for perioperative complications as well as planning and monitoring of surgery and treatment using big data. In addition to high prediction accuracy of artificial intelligence systems, they must be interpretable, transparent and applicable for clinical use. Artificial intelligence systems will be very useful for surgery in the future. This article underscores how such clinically transparent artificial intelligence models may support individualized risk stratification and informed postoperative decision-making in gastric cancer surgery. |
| Publish Date |
2026-09-15 07:51 |
| Citation |
Ormeci MT, Kirkik D, Tulubas E. Bridging artificial intelligence and clinical decision-making in gastric cancer surgery. World J Gastrointest Surg 2026; 18(9): 119402
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| URL |
https://www.wjgnet.com/1948-9366/full/v18/i9/119402.htm |
| DOI |
https://doi.org/10.4240/wjgs.119402 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
