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Articles Published Processes
9/28/2024 4:34:19 AM | Browse: 96 | Download: 495
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Received |
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2024-05-08 23:03 |
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Peer-Review Started |
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2024-05-08 23:03 |
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First Decision by Editorial Office Director |
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2024-06-19 06:14 |
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Return for Revision |
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2024-06-19 06:14 |
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Revised |
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2024-06-28 10:21 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2024-07-09 02:42 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-07-09 06:33 |
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Articles in Press |
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2024-07-09 06:33 |
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Edit the Manuscript by Language Editor |
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2024-07-10 14:54 |
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Typeset the Manuscript |
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2024-07-17 00:28 |
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Publish the Manuscript Online |
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2024-09-28 04:34 |
| ISSN |
1948-9366 (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 |
Surgery |
| Manuscript Type |
Editorial |
| Article Title |
Advancing perioperative optimization in Crohn's disease surgery with machine learning predictions
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Olga Maria Nardone, Fabiana Castiglione and Simone Maurea |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Olga Maria Nardone, MD, PhD, Assistant Professor, Department of Public Health, University of Naples Federico II, Via Pansini 5, Naples 80131, Italy. olgamaria.nardone@unina.it |
| Key Words |
Machine learning; Ileocecal resection; Postoperative complications; Surgery; Crohn's disease |
| Core Tip |
Preoperative optimization for patients with Crohn's disease presents numerous challenges. Traditional research methods are insufficient to address the expanding array of questions in this field. Hence, there is a growing need to explore and develop new tools grounded in advanced technologies, such as computer simulation models and artificial intelligence. Employing machine learning approaches can significantly enhance patient risk stratification and the formulation of preoperative optimization strategies, ultimately aiming to improve post-surgical outcomes. |
| Publish Date |
2024-09-28 04:34 |
| Citation |
Nardone OM, Castiglione F, Maurea S. Advancing perioperative optimization in Crohn's disease surgery with machine learning predictions. World J Gastrointest Surg 2024; 16(10): 3091-3093 |
| URL |
https://www.wjgnet.com/1948-9366/full/v16/i10/3091.htm |
| DOI |
https://dx.doi.org/10.4240/wjgs.v16.i10.3091 |
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