Publication Name	World Journal of Gastrointestinal Surgery
Manuscript ID	109463
Country	Türkiye

Category	Computer Science, Artificial Intelligence
Manuscript Type	Systematic Reviews
Article Title	Artificial intelligence in gastrointestinal surgery: A systematic review
Manuscript Source	Invited Manuscript
All Author List	Burak Tasci, Sengul Dogan and Turker Tuncer
Funding Agency and Grant Number
Corresponding Author	Burak Tasci, Associate Professor, Vocational School of Technical Sciences, Firat University, Cahit Arf Street, Elazig 23119, Türkiye. btasci@firat.edu.tr
Key Words	Artificial intelligence; Gastrointestinal surgery; Convolutional neural networks; Random forests; Support vector machines; Reinforcement learning; Risk prediction
Core Tip	This systematic review highlights how artificial intelligence (AI) is rapidly reshaping gastrointestinal surgery across preoperative, intraoperative, and postoperative stages. By synthesizing findings from 45 original studies, the review identifies AI’s strengths in enhancing surgical precision, predicting complications, improving diagnostic accuracy, and supporting surgical education. It emphasizes that while many AI tools now match or exceed clinician performance, challenges remain in validation, integration, and interpretability. This review offers a comprehensive roadmap for clinicians and researchers seeking to responsibly implement AI in gastrointestinal surgical practice.
Citation	Tasci B, Dogan S, Tuncer T. Artificial intelligence in gastrointestinal surgery: A systematic review. World J Gastrointest Surg 2025; In press

Received	2025-05-12 08:39
Peer-Review Started	2025-05-12 08:39
To Make the First Decision
Return for Revision	2025-05-17 08:18
Revised	2025-05-19 14:35
Second Decision	2025-06-13 02:41
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-06-13 06:23
Articles in Press	2025-06-13 06:23
Publication Fee Transferred
Edit the Manuscript by Language Editor	2025-07-07 00:20
Typeset the Manuscript

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: http://creativecommons.org/Licenses/by-nc/4.0/
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