Pediatric cancer recurrence is a critical concern for families dealing with childhood cancer, especially in cases of brain tumors such as pediatric gliomas.Recent advancements highlight how an AI predictive tool, designed to evaluate multiple brain scans using a temporal learning model, can significantly enhance recurrence risk assessment.