Pediatric cancer recurrence presents a significant challenge for both patients and their families, especially in the context of childhood gliomas, brain tumors that may come back even after treatment.A groundbreaking study highlighted the potential of AI in pediatric oncology, showing that machine learning tools can predict relapse more effectively than traditional methods.