Pediatric cancer recurrence presents a significant challenge for many families dealing with the aftermath of a child's cancer diagnosis.Recent advancements highlight the role of AI in pediatric oncology, particularly in predicting the risk of relapse in pediatric patients who have undergone treatment for conditions like gliomas.