Endoscopic ultrasound artificial intelligence-assisted for prediction of gastrointestinal stromal tumors diagnosis: A systematic review and meta-analysis

Figure 1 Flow diagram showing the study selection process for meta-analysis. AI: Artificial intelligence.

Figure 2  Risk of bias and applicability concerns of 8 included records using the Quality Assessment of Diagnostic Accuracy Studies tool.

Figure 3 Sensibility and specificity of endoscopic ultrasound with Artificial Intelligence for overall diagnosis of gastrointestinal stromal tumor. A: Sensibility; B: Specificity. CI: Confidence interval.

Figure 4 Summary receiver operating characteristic curve of endoscopic ultrasound with artificial intelligence for gastrointestinal stromal tumor diagnostic. Each circle represent an individual study. SROC: Summary receiver operating characteristic; AUC: Area under curve.

Figure 5 Fagan plot depicting the impact of a positive or negative result on pretest probabilities. A: Fagan plot depicting the impact of a positive or negative result of artificial intelligence; B: Fagan plot depicting the impact of a positive or negative result of experienced endoscopists’ (i.e., the pooled prevalence of subepithelial lesions).