Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	110109
Country	Sri Lanka

Received	2025-05-29 05:28
Peer-Review Started	2025-05-29 05:28
To Make the First Decision
Return for Revision	2025-06-11 09:52
Revised	2025-06-16 13:15
Second Decision	2025-09-10 02:48
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-09-10 11:37
Articles in Press	2025-09-10 11:37
Publication Fee Transferred
Edit the Manuscript by Language Editor	2025-09-16 20:41
Typeset the Manuscript	2025-09-24 00:35
Publish the Manuscript Online	2025-09-28 08:23

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: https://creativecommons.org/Licenses/by-nc/4.0/
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Category	Gastroenterology & Hepatology
Manuscript Type	Review
Article Title	Artificial intelligence in gastroenterology: Enhancing clinical practice, managing challenges and exploring future directions
Manuscript Source	Invited Manuscript
All Author List	Arjuna Priyadarsin De Silva and Krishanni Prabagar
Funding Agency and Grant Number
Corresponding Author	Arjuna Priyadarsin De Silva, Professor, Department of Medicine, Faculty of Medicine, University of Kelaniya, Thalagolla Road, Ragama 11010, Western, Sri Lanka. apdsilva@yahoo.com
Key Words	Artificial intelligence; Gastroenterology; Machine learning; Neural networks; Algorithms; Diagnosis; Management
Core Tip	Artificial intelligence (AI) is being applied across a range of gastrointestinal conditions—from cancer and liver disease to functional disorders—and is driving the development of new tools in digital health. It has demonstrated equal or superior efficiency compared to humans in diagnostic accuracy, treatment planning, and healthcare delivery. However, several important challenges remain, including data privacy concerns, limited transparency of algorithms, inherent biases, and difficulties integrating AI into traditional clinical workflows. Addressing these issues is essential for clinicians to fully benefit from AI and for its continued development in the field.
Publish Date	2025-09-28 08:23
Citation	<p>De Silva AP, Prabagar K. Artificial intelligence in gastroenterology: Enhancing clinical practice, managing challenges and exploring future directions. <i>Artif Intell Gastroenterol</i> 2025; 6(2): 110109</p>
URL	https://www.wjgnet.com/2644-3236/full/v6/i2/110109.htm
DOI	https://dx.doi.org/10.35712/aig.v6.i2.110109

Full Article (PDF)	AIG-6-110109-with-cover.pdf
Manuscript File	110109_Auto_Edited_004210.docx
Answering Reviewers	110109-answering-reviewers.pdf
Audio Core Tip	110109-audio.mp3
Conflict-of-Interest Disclosure Form	110109-conflict-of-interest-statement.pdf
Copyright License Agreement	110109-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate	110109-non-native-speakers.pdf
Peer-review Report	110109-peer-reviews.pdf
Scientific Misconduct Check	110109-scientific-misconduct-check.png
Scientific Editor Work List	110109-scientific-editor-work-list.pdf
CrossCheck Report	110109-crosscheck-report.pdf