Publication Name	Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID	121689
Country	Peru

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Artificial intelligence-assisted colonoscopy: Transforming detection, characterization, and management of colorectal neoplasia
Manuscript Source	Invited Manuscript
All Author List	Josué Aliaga Ramos
Funding Agency and Grant Number
Corresponding Author	Josué Aliaga Ramos, MD, Service of Gastroenterology, Hospital José Agurto Tello-Chosica, 229 Walter Stubbs Street, Lima 150118, Peru. arjosue3000@gmail.com
Key Words	Colorectal cancer; Colonoscopy; Adenoma; Artificial Intelligence; Neoplasm
Core Tip	Artificial intelligence (AI) is rapidly redefining the landscape of colorectal neoplasia, emerging as a pivotal driver of a new era in precision endoscopy. By augmenting human perception with advanced pattern recognition and real-time data processing, AI-enabled systems have demonstrated a consistent capacity to enhance adenoma detection, refine optical diagnosis, and support therapeutic decision-making with unprecedented accuracy and reproducibility. Beyond improving key quality indicators such as adenoma detection rate and diagnostic performance, AI mitigates operator-dependent variability and establishes a more standardized and objective approach to endoscopic practice. Its integration across the entire continuum of care from risk stratification and screening to lesion characterization and advanced endoscopic resection positions AI as a transformative tool capable of optimizing colorectal cancer prevention strategies. As evidence continues to accumulate, AI is no longer a complementary technology but a central component in the evolution toward more effective, individualized, and outcome-driven management of colorectal neoplasia.
Citation	Aliaga Ramos J. Artificial intelligence-assisted colonoscopy: Transforming detection, characterization, and management of colorectal neoplasia. Artif Intell Gastrointest Endosc 2026; In press

Received	2026-03-31 05:58
Peer-Review Started	2026-03-31 06:00
First Decision by Editorial Office Director
Return for Revision	2026-07-03 03:38
Revised	2026-07-13 04:05
Publication Fee Transferred
Second Decision by Editor	2026-08-03 02:44
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-08-03 09:36
Articles in Press	2026-08-03 09:36
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2689-7164 (online)
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Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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