Pediatric cancer relapse prediction is a groundbreaking advance in the field of oncology, particularly for managing brain tumors like gliomas.Recent studies, including research from Harvard, demonstrate that artificial intelligence (AI) can significantly enhance the accuracy of relapse risk assessments compared to traditional methodologies.