Pediatric cancer recurrence prediction has taken a significant leap forward with the advent of advanced artificial intelligence (AI) methodologies.Recent studies indicate that AI tools, particularly those trained on temporal data from brain scans, provide far more precise estimates of relapse risks compared to traditional techniques.