Pediatric brain cancer prediction is at the forefront of transformative advancements in pediatric oncology, offering hope for more precise and timely interventions.Recent studies reveal that artificial intelligence (AI) tools can significantly outperform traditional methods in predicting the risk of glioma recurrence among children.