Expanding the use of artificial intelligence in non-invasive colorectal cancer screening

doi:10.35712/aig.v7.i2.119658

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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

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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): 119658
Published online Aug 8, 2026. doi: 10.35712/aig.v7.i2.119658

Expanding the use of artificial intelligence in non-invasive colorectal cancer screening

Koby Herman, Saleh A Busbait, Gautham Chitragari, Vijay K Mittal, Jasneet S Bhullar

Koby Herman, Saleh A Busbait, Gautham Chitragari, Vijay K Mittal, Jasneet S Bhullar, Department of Surgery, Henry Ford Providence Hospital, Michigan State University College of Human Medicine, Southfield, MI 48075, United States

Author contributions: All authors made substantial contributions to this manuscript, including the study conception, data collection, analysis of results, and manuscript preparation. All authors reviewed the results and approved the final version of the manuscript.

Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.

Corresponding author: Jasneet S Bhullar, MD, FACS, FASCRS, Department of Surgery, Henry Ford Providence Hospital, Michigan State University College of Human Medicine, 16001 W Nine Mile Rd, Southfield, MI 48075, United States. drjsbhullar@gmail.com

Received: February 3, 2026
Revised: February 25, 2026
Accepted: April 8, 2026
Published online: August 8, 2026
Processing time: 184 Days and 11.5 Hours

Core Tip

Core Tip: The use of artificial intelligence (AI) has made a significant impact in the development and/or enhancement of non-invasive colorectal cancer screening methods. AI is improving blood-based and radiographic testing and progressing novel methods like breathonomics. AI-aided colon capsule endoscopy is particularly adept at identifying polyps and precancerous lesions. Further prospective studies remain necessary to clarify its utility in broadening its application in clinical practice.

Herman K, Busbait SA, Chitragari G, Mittal VK, Bhullar JS. Expanding the use of artificial intelligence in non-invasive colorectal cancer screening. Artif Intell Gastroenterol 2026; 7(2): 119658 [DOI: 10.35712/aig.v7.i2.119658]

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