Pediatric brain cancer relapse prediction is an urgent area of research that has gained momentum thanks to advancements in artificial intelligence.Recent studies indicate that AI tools, especially those utilizing machine learning in medicine, significantly enhance the accuracy of predicting recurrence in children with brain tumors, such as gliomas.