Pediatric Cancer Recurrence Prediction has emerged as a critical focus in advancing treatment strategies for young patients battling malignancies like gliomas.Recent research indicates that innovative AI tools, leveraging powerful algorithms, can outperform traditional methods when it comes to accurately forecasting cancer relapse in children.