Artificial intelligence-assisted colonoscopy: Transforming detection, characterization, and management of colorectal neoplasia

doi:10.37126/aige.121689

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Artificial Intelligence in Gastrointestinal Endoscopy

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2689-7164

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Artif Intell Gastrointest Endosc. Sep 8, 2026; 7(2): 121689
Published online Sep 8, 2026. doi: 10.37126/aige.121689

Table 1 Comparative table of the effectiveness of artificial intelligence in the detection of colorectal neoplasms

Ref.	Design	ADR (AI vs control)	P value	PDR (AI vs control)	P value
Wang et al[14]	Double-blind RCT	34% vs 28%	0.03	Not reported
Repici et al[15]	Multicenter RCT	54.8% vs 40.4%	< 0.001	Not reported
Liu et al[16]	Prospective RCT	39.1% vs 23.9%	< 0.001	43.7% vs 27.8%	< 0.001

ADR: Adenoma detection rate; AI: Artificial intelligence; PDR: Polyp detection rate; RCT: Randomized controlled trial.

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Citation: Aliaga Ramos J. Artificial intelligence-assisted colonoscopy: Transforming detection, characterization, and management of colorectal neoplasia. Artif Intell Gastrointest Endosc 2026; 7(2): 121689
URL: https://www.wjgnet.com/2689-7164/full/v7/i2/121689.htm
DOI: https://dx.doi.org/10.37126/aige.121689

Aliaga Ramos J. Artificial intelligence-assisted colonoscopy: Transforming detection, characterization, and management of colorectal neoplasia. Artif Intell Gastrointest Endosc 2026; 7(2): 121689 [DOI: 10.37126/aige.121689]

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