Pediatric cancer relapse prediction has become a pivotal focus in enhancing treatment outcomes for young patients battling conditions like gliomas.Recent advancements in AI cancer prediction have shown that machine learning models can accurately analyze brain scans over time, significantly improving predictions of cancer recurrence.