Machine learning in health care is in the early stage of application. This review explores machine learning and its potential to enhance clinical decision-making as a tool for safe value-based care. The authors discuss how machine learning can affect prognosis, diagnosis, treatment, clinician workflow, and access to expertise. They describe key challenges to integrating machine learning in health care, including access to high-quality data.