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11/3/2026 3:34:09 AM | Browse: 1 | Download: 7
Publication Name Artificial Intelligence in Gastroenterology
Manuscript ID 125028
Country China
Received
2026-07-01 10:59
Peer-Review Started
2026-07-01 11:00
First Decision by Editorial Office Director
Return for Revision
2026-08-04 09:01
Revised
2026-08-23 17:29
Publication Fee Transferred
Second Decision by Editor
2026-09-18 03:57
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-09-18 10:43
Articles in Press
2026-09-18 10:43
Edit the Manuscript by Language Editor
Typeset the Manuscript
2026-11-02 00:16
Publish the Manuscript Online
2026-11-03 03:34
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 ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Surgery
Manuscript Type Minireviews
Article Title Computer vision in laparoscopic gastrointestinal surgery: A review of anatomical recognition and clinical navigation
Manuscript Source Invited Manuscript
All Author List Wen Li, Jia-Tong Liu, Lin Chen, Ping Cheng and Ke-Cheng Zhang
ORCID
Author(s) ORCID Number
Lin Chen http://orcid.org/0000-0002-3507-673X
Ke-Cheng Zhang http://orcid.org/0000-0002-9257-5607
Funding Agency and Grant Number
Corresponding Author Ke-Cheng Zhang, PhD, Professor, Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing 100853, China. zhangkecheng@301hospital.com.cn
Key Words Computer vision; Deep learning; Laparoscopic surgery; Anatomic landmarks; Surgical navigation; Augmented reality
Core Tip Computer vision is advancing laparoscopic gastrointestinal surgery from two dimensional image recognition toward real-time anatomical navigation and context-aware assistance. This review summarizes progress in surgical phase recognition, visual enhancement, critical-structure identification, three dimensional and augmented-reality navigation, and robotic integration, while emphasizing the gap between technical performance and demonstrated clinical benefit. Key priorities include multicenter validation, procedure-specific datasets, privacy-preserving learning, human-artificial intelligence collaboration, and prospective evaluation of surgeon-, procedure-, and patient-centered outcomes. Semi-autonomous functions should remain under surgeon oversight.
Publish Date 2026-11-03 03:34
Citation

Li W, Liu JT, Chen L, Cheng P, Zhang KC. Computer vision in laparoscopic gastrointestinal surgery: A review of anatomical recognition and clinical navigation. Artif Intell Gastroenterol 2026; 7(3): 125028

URL https://www.wjgnet.com/2644-3236/full/v7/i3/125028.htm
DOI https://doi.org/10.35712/aig.125028
Full Article (PDF) AIG-7-125028-with-cover.pdf
Manuscript File 125028_Auto_Edited_011223.docx
Answering Reviewers 125028-answering-reviewers.pdf
Audio Core Tip 125028-audio.MP3
Conflict-of-Interest Disclosure Form 125028-conflict-of-interest-statement.pdf
Copyright License Agreement 125028-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 125028-non-native-speakers.pdf
Peer-review Report 125028-peer-reviews.pdf
Scientific Misconduct Check 125028-scientific-misconduct-check.png
CrossCheck Report 125028-crosscheck-report.pdf