The emergence of an innovative AI tool in pediatric cancer recurrence has transformed the landscape of relapse risk assessment among young patients, particularly those battling brain tumors such as pediatric gliomas.Recent studies highlight the impressive capabilities of AI cancer prediction systems, which leverage machine learning to analyze MRI scans over time, offering a more accurate evaluation of recurrence risks compared to traditional methods.