Pediatric cancer relapse prediction has taken a significant leap forward with the advent of artificial intelligence in pediatric oncology.In a groundbreaking study conducted at Mass General Brigham, researchers harnessed an AI tool to analyze multiple MRI scans over time, unveiling the potential to predict relapse risk more accurately than traditional methods.