Researchers presented an AI system that can stage cancer without surgery by using imaging-based reconstruction to infer peritoneal cancer index (PCI) across thirteen abdominal regions. For patients with peritoneal metastases, the PCI score is used to drive treatment selection and operative planning, but current methods depend on invasive procedures. The work positions AI-based staging as a potential bridge between standard radiologic assessment and surgical scoring, aiming to reduce procedural burden while improving consistency. As oncology imaging AI matures, the key clinical question is whether these models can generalize across scanners, institutions, and cancer biology—making robust validation central for adoption.