Predicting pathological complete response to neoadjuvant chemoradiotherapy in rectal cancer via artificial intelligence: A systematic review and meta-analysis

doi:10.35712/aig.125015

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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

Meta-Analysis

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. Nov 8, 2026; 7(3): 125015
Published online Nov 8, 2026. doi: 10.35712/aig.125015

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Figure 2 Hierarchical summary receiver operating characteristic curve demonstrating strong diagnostic performance with a pooled area under the curve of 0. 889 and low between-study heterogeneity (I² = 11.3%). AI: Artificial intelligence; HSROC: Hierarchical summary receiver operating characteristic; pCR: Pathological complete response; FPR: False positive rate.

Citation: Omullo FP, Kitheghe TK, Sheikh IA, Gakuya AM, Gitumu JM, Shiekh MA, Agai WO, Orenge WB, Gogo HM. Predicting pathological complete response to neoadjuvant chemoradiotherapy in rectal cancer via artificial intelligence: A systematic review and meta-analysis. Artif Intell Gastroenterol 2026; 7(3): 125015
URL: https://www.wjgnet.com/2644-3236/full/v7/i3/125015.htm
DOI: https://dx.doi.org/10.35712/aig.125015

Omullo FP, Kitheghe TK, Sheikh IA, Gakuya AM, Gitumu JM, Shiekh MA, Agai WO, Orenge WB, Gogo HM. Predicting pathological complete response to neoadjuvant chemoradiotherapy in rectal cancer via artificial intelligence: A systematic review and meta-analysis. Artif Intell Gastroenterol 2026; 7(3): 125015 [DOI: 10.35712/aig.125015]

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