Pediatric cancer relapse prediction has emerged as a critical area of research in oncology, particularly with the advent of advanced technologies like artificial intelligence.Recent studies indicate that AI tools designed to analyze sequential MRI scans can significantly improve the accuracy of relapse risk assessments in children with brain tumors, specifically gliomas.