Supplementary Materials for Artificial Intelligence-Powered Renal Pathology for Glomerular Disease Classification: A Systematic Review and Meta-Analysis

This record contains the underlying study-level diagnostic-performance data and statistical code supporting the systematic review and meta-analysis entitled “Artificial Intelligence-Powered Renal Pathology for Glomerular Disease Classification: A Systematic Review and Meta-Analysis.” The dataset includes extracted performance data for pathology-image artificial intelligence models and pathologists across glomerular disease subtypes, including sensitivity, precision, accuracy, F1 score, and area under the curve, together with internal and external validation information. The accompanying R code supports the meta-analysis, subgroup analyses, funnel-plot assessments, meta-regression, and leave-one-out sensitivity analyses.