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Articles Published Processes
1/6/2026 8:29:19 AM | Browse: 3 | Download: 0
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Received |
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2025-10-09 17:26 |
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Peer-Review Started |
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2025-10-09 17:26 |
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First Decision by Editorial Office Director |
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2025-10-23 08:25 |
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Return for Revision |
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2025-10-23 08:25 |
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Revised |
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2025-10-28 16:44 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-12-01 02:58 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-12-01 06:50 |
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Articles in Press |
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2025-12-01 06:50 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-12-26 08:53 |
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Publish the Manuscript Online |
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2026-01-06 08:29 |
| ISSN |
2644-3236 (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: 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 |
Case Report |
| Article Title |
Integrating artificial intelligence in the diagnostic pathway of duodenal gastrointestinal stromal tumors: A case report
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Himanshu Agrawal, Garima Dwivedi, Rahul Rohitaj, Himanshu Tanwar, Shailender Maurya and Nikhil Gupta |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Nikhil Gupta, Department of Surgery, Atal Bihari Vajpayee Institute of Medical Sciences, Dr. Ram Manohar Lohia Hospital, Baba Kharak Singh Marg, Connaught Place, New Delhi 110001, Delhi, India. nikhil_ms26@yahoo.co.in |
| Key Words |
Gastrointestinal stromal tumor; Duodenum; Artificial intelligence; Radiomics; Preoperative diagnosis |
| Core Tip |
Duodenal gastrointestinal stromal tumors (GISTs) are rare and often mimic periampullary or pancreatic tumors, leading to misdiagnosis, especially when presenting with obstructive jaundice. This case highlights how artificial intelligence (AI) could significantly enhance preoperative diagnosis by analyzing subtle imaging features that differentiate GISTs from other malignancies. AI-driven radiomics and deep learning models can improve tumor characterization, predict biological behavior, and guide timely treatment decisions. Integrating AI into diagnostic workflows may prevent unnecessary major surgeries and improve outcomes in rare gastrointestinal tumors like duodenal GISTs. |
| Publish Date |
2026-01-06 08:29 |
| Citation |
Agrawal H, Dwivedi G, Rohitaj R, Tanwar H, Maurya S, Gupta N. Integrating artificial intelligence in the diagnostic pathway of duodenal gastrointestinal stromal tumors: A case report. Artif Intell Gastroenterol 2026; 7(1): 115054 |
| URL |
https://www.wjgnet.com/2644-3236/full/v7/i1/115054.htm |
| DOI |
https://dx.doi.org/10.35712/aig.v7.i1.115054 |
© 2004-2026 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
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