Pediatric cancer prediction is an emerging field that harnesses the power of artificial intelligence (AI) to improve outcomes for young patients facing critical health challenges.Recent advancements in machine learning in medicine have shown that AI tools can significantly enhance the accuracy of predicting cancer recurrence risk, particularly in pediatric glioma cases.