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9/4/2026 3:39:44 AM | Browse: 4 | Download: 1
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2026-03-31 05:58 |
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2026-03-31 06:00 |
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2026-07-03 03:38 |
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2026-07-13 04:05 |
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Second Decision by Editor |
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2026-08-03 02:44 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-08-03 09:36 |
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Articles in Press |
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2026-08-03 09:36 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-08-30 11:34 |
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Publish the Manuscript Online |
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2026-09-04 02:12 |
| ISSN |
2689-7164 (online) |
| Open Access |
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. |
| 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Minireviews |
| Article Title |
Artificial intelligence-assisted colonoscopy: Transforming detection, characterization, and management of colorectal neoplasia
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Josué Aliaga Ramos |
| Funding Agency and Grant Number |
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| Corresponding Author |
Josué Aliaga Ramos, MD, Service of Gastroenterology, Hospital José Agurto Tello-Chosica, 229 Walter Stubbs Street, Lima 150118, Peru. arjosue3000@gmail.com |
| Key Words |
Colorectal cancer; Colonoscopy; Adenoma; Artificial Intelligence; Neoplasm |
| Core Tip |
Artificial intelligence (AI) is rapidly redefining the landscape of colorectal neoplasia, emerging as a pivotal driver of a new era in precision endoscopy. By augmenting human perception with advanced pattern recognition and real-time data processing, AI-enabled systems have demonstrated a consistent capacity to enhance adenoma detection, refine optical diagnosis, and support therapeutic decision-making with unprecedented accuracy and reproducibility. Beyond improving key quality indicators such as adenoma detection rate and diagnostic performance, AI mitigates operator-dependent variability and establishes a more standardized and objective approach to endoscopic practice. Its integration across the entire continuum of care from risk stratification and screening to lesion characterization and advanced endoscopic resection positions AI as a transformative tool capable of optimizing colorectal cancer prevention strategies. As evidence continues to accumulate, AI is no longer a complementary technology but a central component in the evolution toward more effective, individualized, and outcome-driven management of colorectal neoplasia. |
| Publish Date |
2026-09-04 02:12 |
| Citation |
Aliaga Ramos J. Artificial intelligence-assisted colonoscopy: Transforming detection, characterization, and management of colorectal neoplasia. Artif Intell Gastrointest Endosc 2026; 7(2): 121689
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| URL |
https://www.wjgnet.com/2689-7164/full/v7/i2/121689.htm |
| DOI |
https://doi.org/10.37126/aige.121689 |
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