Pediatric cancer relapse prediction is a groundbreaking area of research that aims to improve outcomes for young patients battling brain tumors, particularly gliomas.Recent studies have highlighted how AI pediatric cancer tools, leveraging advanced algorithms, can significantly enhance the accuracy of predicting relapse risk compared to traditional methods.