Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	125028
DOI	10.35712/aig.125028
Country	China

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
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.
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; In press DOI: https://doi.org/10.35712/aig.125028
PDF	125028-in-press.pdf

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

ISSN	2644-3236 (online)
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