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1/5/2026 6:44:23 AM | Browse: 18 | Download: 13
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Received |
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2025-07-10 06:24 |
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Peer-Review Started |
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2025-07-10 06:24 |
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First Decision by Editorial Office Director |
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2025-08-14 08:49 |
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Return for Revision |
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2025-08-14 08:49 |
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Revised |
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2025-08-23 16:57 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-11-20 02:35 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-11-20 10:06 |
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Articles in Press |
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2025-11-20 10:06 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-12-25 11:25 |
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Publish the Manuscript Online |
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2026-01-05 03:46 |
| 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) 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Review |
| Article Title |
Artificial intelligence and machine learning-driven advancements in gastrointestinal cancer: Paving the way for precision medicine
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Chahat Suri, Yashwant K Ratre, Babita Pande, LVKS Bhaskar and Henu K Verma |
| Funding Agency and Grant Number |
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| Corresponding Author |
Henu K Verma, Senior Postdoctoral Fellow, Department of Bioscience and Biomedical engineering Indian Institute of Technology, Kutelabhata, Bhilai 491002, Chhattisgarh, India. henu.verma@yahoo.com |
| Key Words |
Artificial intelligence; Gastrointestinal cancer; Precision medicine; Multimodal detection; Machine learning |
| Core Tip |
Gastrointestinal (GI) cancers remain a major global health burden, demanding better early detection and personalized treatments. Recent artificial intelligence (AI) advances enable precision oncology by integrating diverse data from endoscopic images to genomic profiles. AI-driven tools enhance polyp detection, tumor grading, and multi-omics analysis for tailored therapies. Despite challenges in standardization and clinical adoption, these innovations promise to reduce diagnostic disparities and improve outcomes in GI cancer care. |
| Publish Date |
2026-01-05 03:46 |
| Citation |
Suri C, Ratre YK, Pande B, Bhaskar L, Verma HK. Artificial intelligence and machine learning-driven advancements in gastrointestinal cancer: Paving the way for precision medicine. World J Gastroenterol 2026; 32(1): 111428 |
| URL |
https://www.wjgnet.com/1007-9327/full/v32/i1/111428.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v32.i1.111428 |
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