Diagnostic value of real-time computer-aided detection for precancerous lesion during esophagogastroduodenoscopy: A meta-analysis

doi:10.4240/wjgs.v17.i11.109991

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World Journal of Gastrointestinal Surgery

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1948-9366

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

Meta-Analysis

World J Gastrointest Surg. Nov 27, 2025; 17(11): 109991
Published online Nov 27, 2025. doi: 10.4240/wjgs.v17.i11.109991

Table 4 Meta-regression examining the impact of imaging modality and artificial intelligence model on artificial intelligence-enhanced real-time computer-aided detection systems specificity and accuracy gain

Outcome	Covariate	β	95%CI	P value	τ²	I² (%)	R² (%)
Specificity	Intercept	1.418	1.099-1.737	0	0	0	10000
	WLE (vs others)	0.816	0.307-1.324	0.002
	UNet (vs others)	0.986	0.558-1.415	0
Accuracy difference	Intercept	0.107	0.043-0.17	0.001	0.002	51.4	2498.5
	WLE (vs others)	0.059	-0.022-0.14	0.157
	UNet (vs others)	0.051	-0.029-0.131	0.212

WLE: White light endoscopy.

Full Size Table

Citation: Li ZY, Liu YH, Cai HQ. Diagnostic value of real-time computer-aided detection for precancerous lesion during esophagogastroduodenoscopy: A meta-analysis. World J Gastrointest Surg 2025; 17(11): 109991
URL: https://www.wjgnet.com/1948-9366/full/v17/i11/109991.htm
DOI: https://dx.doi.org/10.4240/wjgs.v17.i11.109991

Li ZY, Liu YH, Cai HQ. Diagnostic value of real-time computer-aided detection for precancerous lesion during esophagogastroduodenoscopy: A meta-analysis. World J Gastrointest Surg 2025; 17(11): 109991 [PMID: 41357645 DOI: 10.4240/wjgs.v17.i11.109991]

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