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Articles Published Processes
8/6/2026 7:34:30 AM | Browse: 2 | Download: 0
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Received |
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2025-12-28 13:22 |
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Peer-Review Started |
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2025-12-28 13:22 |
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First Decision by Editorial Office Director |
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2026-01-14 08:16 |
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Return for Revision |
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2026-01-14 08:16 |
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Revised |
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2026-01-18 21:45 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-03-02 02:40 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-03-02 07:37 |
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Articles in Press |
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2026-03-02 07:37 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-07-07 13:14 |
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Publish the Manuscript Online |
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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
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Pathology |
| Manuscript Type |
Minireviews |
| Article Title |
Artificial intelligence in histopathology of inflammatory bowel disease: Toward objective and reproducible assessment of disease activity
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Marcelo Fabián Amante |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Marcelo Fabián Amante, Chief, División Patología, Hospital General de Agudos Cosme Argerich, Pi y Margall 480, Buenos Aires C1155AHA, Buenos Aires, Ciudad Autónoma de, Argentina. marcelofabianamante@gmail.com |
| Key Words |
Artificial intelligence; Deep learning; Inflammatory bowel disease; Digital pathology; Histological remission; Precision medicine |
| 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. |
| Publish Date |
2026-08-06 07:34 |
| Citation |
Amante MF. Artificial intelligence in histopathology of inflammatory bowel disease: Toward objective and reproducible assessment of disease activity. Artif Intell Gastroenterol 2026; 7(2): 118230
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| URL |
https://www.wjgnet.com/2644-3236/full/v7/i2/118230.htm |
| DOI |
https://doi.org/10.35712/aig.v7.i2.118230 |
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