Pediatric cancer recurrence prediction has reached new heights, thanks to advancements in artificial intelligence.A recent study from Mass General Brigham revealed that an AI tool, designed to analyze multiple MRI scans, significantly outperformed traditional methods in evaluating relapse risk among children with brain tumors, particularly gliomas.