Artificial intelligence and machine learning present both opportunities and threats to patient safety. This article highlights machine learning applications in quality improvement and patient safety (e.g., decision support) and practice considerations before deploying machine learning applications (e.g., presence of underlying biases). The authors provide several recommendations for optimizing implementation of machine learning applications in healthcare settings.