Publication Name	World Journal of Gastroenterology
Manuscript ID	116911
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Editorial
Article Title	Artificial intelligence-based detection and diagnosis for rectal neuroendocrine tumor on white-light endoscopy
Manuscript Source	Invited Manuscript
All Author List	Yu-Han Yang
Funding Agency and Grant Number
Corresponding Author	Yu-Han Yang, /, West China Hospital, Sichuan University, No. 17 People’s South Road, Chengdu 6100041, Sichuan Province, China. yyh_1023@163.com
Key Words	Artificial intelligence; Rectal neuroendocrine tumors; Polyps; White light; Endoscopy
Core Tip	This editorial evaluates a pioneering YOLOv7-based artificial intelligence model for detecting rare rectal neuroendocrine tumors on white-light endoscopy. We highlight the model’s strong performance vs human readers, discuss methodological limitations (static images, class imbalance, permissive intersection over union threshold, lack of enhanced imaging and device heterogeneity), and propose a pragmatic roadmap, improved explainability, multimodal datasets, prospective real-time validation, and regulatory engagement, to translate such artificial intelligence tools safely into clinical practice.
Citation	Yang YH. Artificial intelligence-based detection and diagnosis for rectal neuroendocrine tumor on white-light endoscopy. World J Gastroenterol 2026; In press

Received	2025-11-25 03:22
Peer-Review Started	2025-11-25 03:22
First Decision by Editorial Office Director	2025-12-29 09:29
Return for Revision	2025-12-29 09:29
Revised	2026-01-02 02:55
Publication Fee Transferred
Second Decision by Editor	2026-01-30 02:29
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-01-30 04:22
Articles in Press	2026-01-30 04:22
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1007-9327 (print) and 2219-2840 (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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