Artificial intelligence in histopathology of inflammatory bowel disease: Toward objective and reproducible assessment of disease activity

doi:10.35712/aig.v7.i2.118230

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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

Minireviews

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): 118230
Published online Aug 8, 2026. doi: 10.35712/aig.v7.i2.118230

Artificial intelligence in histopathology of inflammatory bowel disease: Toward objective and reproducible assessment of disease activity

Marcelo Fabián Amante

Marcelo Fabián Amante, División Patología, Hospital General de Agudos Cosme Argerich, C1155AHA Ciudad Autónoma de Buenos Aires, Argentina

Author contributions: Amante MF exclusively carried out the conceptualization and design of the minireview, the creation of all figures and illustrations, the overall supervision of the process, and the critical revisions of all manuscript versions; he also performed the literature search, the analysis and interpretation of the relevant evidence, and the complete drafting of the original manuscript.

AI contribution statement: I hereby clarify that AI was used to improve the grammar, polish the language, and assist with the translation, but not to generate the ideas, texts, or problems presented in the text, nor the solutions or philosophical tensions it proposes.

Conflict-of-interest statement: The author declares no conflicts of interest.

Corresponding author: Marcelo Fabián Amante, MD, Chief, División Patología, Hospital General de Agudos Cosme Argerich, Pi y Margall 480, C1155AHA Ciudad Autónoma de Buenos Aires, Argentina. marcelofabianamante@gmail.com

Received: December 28, 2025
Revised: January 18, 2026
Accepted: March 2, 2026
Published online: August 8, 2026
Processing time: 222 Days and 15.5 Hours

Core Tip

Core Tip: Artificial intelligence is revolutionizing inflammatory bowel disease histopathology by using deep learning on whole-slide images to automate analysis. This addresses the subjectivity of current scoring systems, offering objective, quantitative data for diagnosis, monitoring, and defining histological remission. While promising for clinical trials and precision medicine, challenges like algorithmic bias and integration into pathology workflows must be overcome through validation, regulation, and interdisciplinary collaboration.