Pediatric cancer recurrence prediction is a groundbreaking area of research that harnesses the power of artificial intelligence (AI) to enhance patient care.Recent studies have demonstrated that AI tools can analyze a patient's brain scans over time, significantly improving the prediction of relapse risks in children suffering from brain tumors such as gliomas.