Pediatric cancer recurrence prediction is at the forefront of innovation in medical research, particularly in the realm of pediatric oncology.A groundbreaking study conducted by researchers at Mass General Brigham and Boston Children's Hospital has unveiled the potential of an AI-based tool to enhance predictive accuracy, significantly improving relapse risk assessments for children battling brain tumors like gliomas.