Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

Deep learning systems are increasingly integrated into a vast array of critical applications ranging from autonomous vehicles to medical diagnostics, necessitating rigorous testing and evaluation ...

This article presents a case study of how stakeholders in one state came together to integrate practice and research that is a step beyond a learning health care system. Objectives: The cost and ...