Supplementary Data for: Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Radiomics-Driven Artificial Intelligence: A Systematic Review and Meta-Analysis

This record contains supplementary data for the manuscript entitled “Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Radiomics-Driven Artificial Intelligence: A Systematic Review and Meta-Analysis.” The file includes Supplementary Tables 3-18 and Supplementary Figures 1-67, including study and patient characteristics, imaging technical details, radiologist diagnostic data, risk-of-bias and GRADE assessments, subgroup and meta-regression analyses, forest plots, SROC curves, publication bias analyses, and Fagan nomograms. Supplementary Tables 1 and 2 are retained in the journal supplementary materials.