Artificial intelligence for imaging-based detection of gallbladder cancer: A systematic review and diagnostic test accuracy meta-analysis

Figure 2 Forest plots of diagnostic test performance. A: Forest plot of sensitivity and specificity. Individual-study intervals are exact binomial 95% confidence intervals. The pooled estimate was derived from the Reitsma bivariate random-effects model based on five datasets; B: Diagnostic odds ratio (DOR) forest plot. Estimates are shown on a logarithmic scale. The pooled DOR was derived from the bivariate summary-point simulation; the dashed reference line represents DOR = 1. US: Ultrasonography; CT: Computed tomography; XGC: Xanthogranulomatous cholecystitis.