Predicting brain cancer relapse represents a significant advancement in pediatric oncology, where early detection of recurrence can greatly affect treatment outcomes.Recent research demonstrates that an AI tool designed to analyze brain scans over time outperforms traditional methods in assessing the risk of cancer return in children, particularly with glioma cases.