MKI67 and neuroendocrine neoplasm: AI’s role extends to analyzing WSIs and supporting the diagnostic process of fine-needle aspiration (FNA) and FNB samples.[36–39] Kriegsmann et al. trained an efficient net architecture on histopathological slides for classifying pancreatic tissue types,[40] whereas Niazi et al. developed a CNN for differentiating between neuroendocrine tumors and nontumor regions in Ki67-stained biopsy images, achieving high sensitivity and specificity.[41]