Artificial wisdom in gastrointestinal diagnostics: A new frontier in translational reasoning

doi:10.35712/aig.v7.i2.118884

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Publication Name

Artificial Intelligence in Gastroenterology

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2644-3236

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Evidence Review

Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

Artif Intell Gastroenterol. Aug 8, 2026; 7(2): 118884
Published online Aug 8, 2026. doi: 10.35712/aig.v7.i2.118884

Artificial wisdom in gastrointestinal diagnostics: A new frontier in translational reasoning

Iyad A Issa, Taly Issa

Iyad A Issa, Department of Gastroenterology and Hepatology, Harley Street Medical Center, Abu Dhabi 41475, United Arab Emirates

Taly Issa, Medical School, University of Nicosia, Nicosia 24005, Cyprus

Author contributions: Issa IA and Issa T contributed to the writing, and editing the manuscript, illustrations, and review of literature; Issa IA designed the overall concept and outline of the manuscript; Issa T contributed to the discussion and design of the manuscript; all authors have read and approved the final manuscript.

AI contribution statement: Claude AI was used for English language polishing of the manuscript.

Conflict-of-interest statement: This review was completed without specific funding. The authors declare no conflicts of interest related to artificial intelligence companies or endoscopic device manufacturers.

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

Received: January 13, 2026
Revised: January 25, 2026
Accepted: February 26, 2026
Published online: August 8, 2026
Processing time: 205 Days and 12.7 Hours

Core Tip

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.