Pediatric cancer recurrence prediction is revolutionizing the way we approach treatment and monitoring for young patients facing the threat of relapse.A recent study highlights how an AI tool significantly outperforms traditional methods in forecasting the risk of relapse in pediatric brain tumors, particularly gliomas.