Pediatric cancer prediction is a groundbreaking area of research that harnesses the power of artificial intelligence (AI) to forecast the recurrence of cancer in children, particularly those with brain tumors like gliomas.A recent study from Mass General Brigham has made headlines by showcasing an innovative AI tool that analyzes MRI scans over time, significantly enhancing the accuracy of relapse risk predictions compared to traditional methods.