Pediatric cancer recurrence is a critical concern for many families affected by childhood tumors, particularly gliomas, which can be both treatable and unpredictable.Recent advancements in artificial intelligence (AI) have opened new avenues for predicting relapse risk with remarkable accuracy, outperforming traditional methods.