Pediatric cancer recurrence remains a significant concern for families navigating the challenging landscape of childhood oncology.In a groundbreaking study, researchers have developed an artificial intelligence (AI) tool that outperforms traditional methods in predicting the risk of relapse in young patients, particularly those with gliomas.