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Review
. 2021 Aug 7;27(29):4802-4817.
doi: 10.3748/wjg.v27.i29.4802.

Artificial intelligence in colonoscopy

Joel Joseph  1 , Ella Marie LePage  1 , Catherine Phillips Cheney  2 , Rishi Pawa  3
Affiliations
Review

Artificial intelligence in colonoscopy

Joel Joseph et al. World J Gastroenterol. .

Abstract

Colorectal cancer remains a leading cause of morbidity and mortality in the United States. Advances in artificial intelligence (AI), specifically computer aided detection and computer-aided diagnosis offer promising methods of increasing adenoma detection rates with the goal of removing more pre-cancerous polyps. Conversely, these methods also may allow for smaller non-cancerous lesions to be diagnosed in vivo and left in place, decreasing the risks that come with unnecessary polypectomies. This review will provide an overview of current advances in the use of AI in colonoscopy to aid in polyp detection and characterization as well as areas of developing research.

Keywords: Artificial intelligence; Characterization; Colonoscopy; Computer-aided detection; Computer-aided diagnosis; Detection.

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Conflict of interest statement

Conflict-of-interest statement: The authors declare that there are no any conflict of interests.

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