Publication Name	Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID	121109
DOI	10.37126/aige.121109
Country	United States

Category	Gastroenterology & Hepatology
Manuscript Type	Evidence Review
Article Title	From hype to clinical translation: A tiered, readiness-based framework for artificial intelligence in gastrointestinal endoscopy
Manuscript Source	Invited Manuscript
All Author List	Sri Harsha Boppana, Aditya Chandrashekar and Venkata Sunkesula
Funding Agency and Grant Number
Corresponding Author	Venkata Sunkesula, Academic Fellow, Assistant Professor, MD, Department of Gastroenterology and Hepatology, Case Western Reserve University, 2500 MetroHealth Drive, Cleveland, OH 44109, United States. kumarsvc@gmail.com
Key Words	Artificial intelligence; Deep learning; Gastrointestinal endoscopy; Computer-aided detection; Computer-aided diagnosis; Computer-aided quality assessment; Workflow integration; Generalizability; Governance; Resource-limited settings
Core Tip	Endoscopic artificial intelligence (AI) applications are at very different stages of translation. Colonoscopy computer-aided detection is the only system that meets readiness across all six domains we examined, yet guideline panels remain split on net patient value. Upper gastrointestinal second-observer systems, AI-assisted procedural quality systems, capsule endoscopy reader-assist tools, and endoscopy-based Helicobacter pylori prediction systems are technically strong but lack defined clinical pathways. Cholangioscopy, therapeutic, and pancreatic ultrasound AI are exploratory. Future translation will depend less on classifier accuracy and more on pathway definition, workflow integration, governance, and monitoring. We offer a tiered framework and a prospective checklist to guide implementation decisions.
Citation	Boppana SH, Chandrashekar A, Sunkesula V. From hype to clinical translation: A tiered, readiness-based framework for artificial intelligence in gastrointestinal endoscopy. Artif Intell Gastrointest Endosc 2026; In press DOI: https://doi.org/10.37126/aige.121109
PDF	121109-in-press.pdf

Received	2026-03-16 03:35
Peer-Review Started	2026-03-16 03:35
First Decision by Editorial Office Director	2026-04-23 08:59
Return for Revision	2026-04-23 08:59
Revised	2026-05-08 13:33
Publication Fee Transferred
Second Decision by Editor	2026-06-08 02:40
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-06-08 09:46
Articles in Press	2026-06-08 09:46
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2689-7164 (online)
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