Artificial intelligence in predicting colorectal polyp histology: Systematic review and meta-analysis of diagnostic accuracy in real-time procedures

doi:10.4253/wjge.v18.i3.116381

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Mar 16, 2026 (publication date) through Mar 17, 2026

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World Journal of Gastrointestinal Endoscopy

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1948-5190

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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.

World J Gastrointest Endosc. Mar 16, 2026; 18(3): 116381
Published online Mar 16, 2026. doi: 10.4253/wjge.v18.i3.116381

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Figure 1 Preferred Reporting Items for Systematic reviews and Meta-Analyses flow diagram of the search strategy process. Adapted from Page et al[32]. RCT: Randomized controlled trial.

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Figure 2 Forest plot. A: Artificial intelligence (AI) rate of correct diagnosis: Showing pooled diagnostic accuracy for AI; B: Human rate of correct diagnosis: Showing pooled diagnostic accuracy for human experts; C: Comparison: Illustrating the direct comparative diagnostic accuracy of AI vs human experts. CI: Confidence interval; AI: Artificial intelligence.

Citation: Curlej P, Soldera J. Artificial intelligence in predicting colorectal polyp histology: Systematic review and meta-analysis of diagnostic accuracy in real-time procedures. World J Gastrointest Endosc 2026; 18(3): 116381
URL: https://www.wjgnet.com/1948-5190/full/v18/i3/116381.htm
DOI: https://dx.doi.org/10.4253/wjge.v18.i3.116381