Pediatric cancer relapse prediction has taken a significant leap forward with the advent of artificial intelligence in cancer care.A groundbreaking study from Mass General Brigham revealed that an AI tool outperforms traditional methods in forecasting the recurrence risk for children diagnosed with brain tumors, particularly pediatric gliomas.