In recent years, AI in pediatric cancer predictions has emerged as a groundbreaking tool that enhances the accuracy of relapse detection in young patients.The use of machine learning in oncology has transformed how practitioners approach the treatment of conditions such as pediatric gliomas, which present distinct challenges in accurately predicting cancer relapse.