Pediatric cancer recurrence prediction is a critical focus in the field of oncology, particularly for young patients battling gliomas, a type of brain tumor.Recent research has demonstrated that innovative AI tools, specifically designed to analyze temporal MRI scans, can predict relapse risks with remarkable accuracy.