Pediatric cancer recurrence remains a critical concern in the treatment of childhood cancers, particularly among patients diagnosed with brain tumors like gliomas.Recent advancements in AI predictions for pediatric cancer have shown promise in improving the predictive accuracy for relapse risks, thus enabling more tailored care for young patients.