Can AI read tumor slides to outsmart childhood cancer?

This trial is testing whether an artificial intelligence (AI) model can accurately diagnose and grade several types of solid tumors that affect children, including neuroblastoma, medulloblastoma, Wilms tumor, hepatoblastoma, and rhabdomyosarcoma. The AI is trained on thousands of pathology images and medical knowledge to identify tumor regions, detect cancer, and classify subtypes. The goal is to provide a reliable, consistent tool that supports pathologists in making faster and more precise diagnoses, potentially leading to better personalized treatment for children with these cancers.