Pediatric cancer recurrence prediction is a critical area of research that aims to improve outcomes for children battling malignancies, particularly brain tumors like gliomas.Recent advancements in artificial intelligence (AI) have introduced powerful tools capable of analyzing multiple brain images over time, offering a more accurate assessment of relapse risks compared to traditional methods.