Pediatric cancer recurrence remains one of the most challenging aspects of treating childhood malignancies, particularly for conditions like gliomas, which are brain tumors that can vary significantly in their risk of relapse.Recent advancements in AI in medicine have provided new hope, as researchers have developed sophisticated AI tools that analyze brain scans over time to more accurately predict relapse risk than traditional methods.