Artificial intelligence in pediatrics: the future is now

Artificial intelligence and machine learning research in pediatrics is exponentially increasing; however, it is still significantly behind adult medical research in the variety of models developed and a number of algorithms currently implemented into clinical practice. The fields of neonatal and pediatric critical care as well as the pediatric sub-specialties of psychiatry, neurology, and pulmonology are currently leading the way in model development. Current work is underway to try to expand successful adult algorithms into pediatric use cases. Future work that is needed to enhance multi-center collaboration and model implementation into clinical practice which includes the need for centralization of multi-institutional databases, increased use of continuous physiologic and genomic data, and clinical implementation of precision medicine using predictive modeling.