MKI67 and neoplasm: Digital image analysis (DIA) of whole-slide images (WSIs), with advanced machine learning algorithms, addresses these limitations by enabling high-throughput analysis of large pathology data sets.8,9 This approach precisely and accurately quantifies immunohistochemistry (IHC) biomarkers such as Ki67, a widely used proliferation marker.10,11 In contrast to routine visual scoring, which typically relies on global estimates of the whole tumor section or hotspot evaluations by pathologists, DIA enables reproducible assessment of Ki67 expression across tumor regions.