Pediatric cancer recurrence poses a significant challenge for healthcare providers and families alike, especially among children diagnosed with brain tumors like pediatric gliomas.Recent advancements in AI in medicine have opened new avenues for predicting cancer relapse with remarkable accuracy, particularly through innovations like temporal learning AI.