AI in pediatric cancer recurrence is transforming the landscape of childhood oncology, providing new avenues for earlier and more accurate predictions of cancer relapse.A groundbreaking study from researchers at Mass General Brigham reveals that artificial intelligence tools can predict the risk of relapse in pediatric patients with gliomas with greater precision than conventional methods.