Pediatric cancer relapse prediction is a groundbreaking advancement in the fight against childhood cancers, particularly brain tumors like gliomas.Recent studies indicate that utilizing artificial intelligence (AI) in pediatric oncology can significantly enhance the accuracy of these predictions compared to traditional methods.