Pediatric cancer prediction is an emerging area of research that leverages cutting-edge artificial intelligence (AI) technologies to improve outcomes for young patients.Recent advancements in machine learning in medicine, particularly in analyzing serial brain scans, have demonstrated the potential to significantly enhance the predictive accuracy of glioma recurrence.