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Publication Name Artificial Intelligence in Gastroenterology
Manuscript ID 118884
Country United Arab Emirates
Received
2026-01-13 06:18
Peer-Review Started
2026-01-13 06:19
First Decision by Editorial Office Director
2026-01-21 07:28
Return for Revision
2026-01-21 07:28
Revised
2026-01-25 16:24
Publication Fee Transferred
Second Decision by Editor
2026-02-26 02:34
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-02-26 10:02
Articles in Press
2026-02-26 10:02
Edit the Manuscript by Language Editor
Typeset the Manuscript
2026-03-29 03:17
Publish the Manuscript Online
2026-08-06 07:34
ISSN 2644-3236 (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: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Gastroenterology & Hepatology
Manuscript Type Evidence Review
Article Title Artificial wisdom in gastrointestinal diagnostics: A new frontier in translational reasoning
Manuscript Source Invited Manuscript
All Author List Iyad A Issa and Taly Issa
ORCID
Author(s) ORCID Number
Iyad A Issa http://orcid.org/0000-0003-2050-2617
Funding Agency and Grant Number
Corresponding Author Iyad A Issa, Department of Gastroenterology and Hepatology, Harley Street Medical Center, Marina Village, Villa No. A21, Abu Dhabi 41475, United Arab Emirates. iyadissa71@gmail.com
Key Words Artificial intelligence; Machine learning; Gastrointestinal endoscopy; Computer-aided detection; Polyp detection; Colonoscopy
Core Tip Artificial Wisdom represents a paradigm shift in artificial intelligence-augmented gastrointestinal (GI) diagnostics, moving beyond narrow task-specific algorithms toward integrated, patient-centered reasoning. By combining multimodal data inputs, causal inference, calibrated uncertainty, and guideline-aligned decision support, Artificial Wisdom frameworks offer a more holistic and clinically meaningful approach to endoscopic decision-making. This mini-review outlines the conceptual foundations, architectural design, and translational applications of Artificial Wisdom in GI endoscopy, highlighting its potential to enhance diagnostic accuracy, equity, and workflow integration.
Publish Date 2026-08-06 07:34
Citation

Issa IA, Issa T. Artificial wisdom in gastrointestinal diagnostics: A new frontier in translational reasoning. Artif Intell Gastroenterol 2026; 7(2): 118884

URL https://www.wjgnet.com/2644-3236/full/v7/i2/118884.htm
DOI https://doi.org/10.35712/aig.v7.i2.118884
Full Article (PDF) AIG-7-118884-with-cover.pdf
Manuscript File 118884_Auto_Edited-WJJ.docx
Answering Reviewers 118884-answering-reviewers.pdf
Audio Core Tip 118884-audio.mp3
Conflict-of-Interest Disclosure Form 118884-conflict-of-interest-statement.pdf
Copyright License Agreement 118884-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 118884-non-native-speakers.pdf
Peer-review Report 118884-peer-reviews.pdf
Scientific Misconduct Check 118884-scientific-misconduct-check.png
Scientific Editor Work List 118884-scientific-editor-work-list.pdf
CrossCheck Report 118884-crosscheck-report.pdf