Pediatric cancer recurrence prediction is a critical area of research that could transform how we monitor and treat young patients facing the challenges of brain tumors like gliomas.Recent advancements in artificial intelligence in medicine have ushered in innovative tools capable of analyzing multiple MRI scans over time, significantly enhancing the accuracy of predicting relapse.