AI in predicting brain cancer relapse is rapidly emerging as a groundbreaking innovation in pediatric oncology, unlocking new insights into the recurrence of brain tumors such as gliomas.A recent study conducted by researchers at Mass General Brigham has demonstrated that AI tools can significantly outperform traditional methods in forecasting relapse risk, offering hope for improved patient outcomes.