Pediatric cancer relapse prediction has emerged as a pivotal area of research, especially for children battling brain tumors such as gliomas.Recent advancements in artificial intelligence (AI) and machine learning cancer prognosis tools have shown significant promise in enhancing the accuracy of these predictions.