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

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Figure 8 Sensitivity analysis of image modality and artificial intelligence model effects. A: Leave-one-out (LOO) sensitivity analysis of artificial intelligence-enhanced real-time computer-aided detection systems (AI-CAD) group specificity, stratified by imaging modality; B: LOO sensitivity analysis of accuracy difference, stratified by imaging modality; C: LOO sensitivity analysis of AI-CAD group specificity, stratified by artificial intelligence (AI) model; D: LOO sensitivity analysis of accuracy difference, stratified by AI model.

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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