Pediatric glioma relapse prediction is a vital area of research that aims to enhance the management of childhood brain tumors.Recent advancements in artificial intelligence (AI) have brought new hope, leveraging advanced algorithms to analyze multiple brain scans over time for improved accuracy in risk assessment.