Publication Name	World Journal of Gastrointestinal Surgery
Manuscript ID	109991
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Meta-Analysis
Article Title	Diagnostic value of real-time computer-aided detection for precancerous lesion during esophagogastroduodenoscopy: A meta-analysis
Manuscript Source	Invited Manuscript
All Author List	Zong-Yang Li, Ya-Hui Liu and Hong-Qiao Cai
Funding Agency and Grant Number
Corresponding Author	Hong-Qiao Cai, MD, PhD, Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, No. 1 Xinmin Street, Changchun 130021, Jilin Province, China. hongqiaocai@jlu.edu.cn
Key Words	Artificial intelligence; Real-time computer-aided detection system; Precancerous lesion; Esophagogastroduodenoscopy; Endoscopy; Upper gastrointestinal tract; Diagnostic performance; Meta-analysis
Core Tip	This meta-analysis indicates that the artificial intelligence-enabled real-time computer-aided detection system (AI-CAD) system is superior to endoscopists in detecting precancerous lesions of the upper gastrointestinal (UGI) tract. Its sensitivity, specificity, and diagnostic accuracy are higher, which is helpful in improving lesion recognition ability and may reduce the rate of missed diagnoses. These findings support the clinical potential of integrating AI-CAD into routine endoscopy practice to enhance the early detection and prevention of UGI cancers.
Citation	Li ZY, Liu YH, Cai HQ. Diagnostic value of real-time computer-aided detection for precancerous lesion during esophagogastroduodenoscopy: A meta-analysis. World J Gastrointest Surg 2025; In press

Received	2025-05-28 09:34
Peer-Review Started	2025-05-28 09:34
To Make the First Decision
Return for Revision	2025-08-08 09:44
Revised	2025-08-16 05:41
Second Decision	2025-09-15 02:40
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-09-15 07:22
Articles in Press	2025-09-15 07:22
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-9366 (online)
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