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The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study

The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study

No other additional analyses provided credible evidence. Pooled sensitivity, specificity, and accuracy of the studies included in the meta-analysis and sensitivity analysis. a AUC: area under the curve. b AI: artificial intelligence. c WLI: white light imaging. d NBI: narrow-band imaging. To our knowledge, this was the first systematic review and meta-analysis of AI-assisted endoscopic diagnosis of early gastric cancer. The accuracy, sensitivity, and specificity were 0.94, 0.86, and 0.90, respectively.

Pei-Chin Chen, Yun-Ru Lu, Yi-No Kang, Chun-Chao Chang

J Med Internet Res 2022;24(5):e27694