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9/19/2025 8:13:01 AM | Browse: 144 | Download: 50
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Received |
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2025-06-09 09:18 |
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Peer-Review Started |
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2025-06-09 09:18 |
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To Make the First Decision |
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Return for Revision |
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2025-07-04 09:42 |
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2025-07-14 10:15 |
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Second Decision |
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2025-08-21 02:40 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-08-21 06:13 |
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Articles in Press |
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2025-08-21 06:13 |
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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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2025-09-11 06:43 |
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Publish the Manuscript Online |
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2025-09-19 07:57 |
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 |
Minireviews |
Article Title |
Gastroenterology in the age of artificial intelligence: Bridging technology and clinical practice
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Manuscript Source |
Invited Manuscript |
All Author List |
Yagna Mehta, Saumya Mehta, Vishwa Bhayani, Sankalp Parikh and Rajiv Mehta |
Funding Agency and Grant Number |
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Corresponding Author |
Rajiv Mehta, Department of Gastroenterology, SIDS Hospital and Research Centre, Khatodra Bamroli Road, Near Shell Petrol Pump, Majuragate, Surat 395002, Gujarat, India. rajivmehta@sidshospital.com |
Key Words |
Artificial intelligence; Gastroenterology; Predictive analytics; Endoscopy; Drug discovery; Personalized medicine; Remote monitoring |
Core Tip |
Artificial intelligence (AI) is transforming gastroenterology and hepatology by enhancing diagnostic accuracy, enabling personalized therapy, and accelerating drug discovery. This review highlights key AI applications such as real-time polyp detection, predictive modeling in inflammatory bowel disease, and early risk stratification in acute pancreatitis. AI also supports drug repurposing, de novo molecule design, and formulation optimization through absorption, distribution, metabolism, excretion, and toxicity profiling. In hepatology, AI facilitates remote monitoring and guides complex cancer care via tumor boards. Educational tools like GastroAGI (AI-powered learning in gastroenterology) further extend its impact. Addressing data quality, interpretability, and ethical challenges is essential for integrating AI into clinical practice. |
Publish Date |
2025-09-19 07:57 |
Citation |
<p>Mehta Y, Mehta S, Bhayani V, Parikh S, Mehta R. Gastroenterology in the age of artificial intelligence: Bridging technology and clinical practice. <i>World J Gastroenterol</i> 2025; 31(36): 110549</p> |
URL |
https://www.wjgnet.com/1007-9327/full/v31/i36/110549.htm |
DOI |
https://dx.doi.org/10.3748/wjg.v31.i36.110549 |
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