Implementing AI in healthcare isn’t just about choosing the right tools—it’s about making them work in the real world.

Background The burden of cardiovascular events in Africa is projected to rise significantly in the coming decade, placing ...

Efforts to remove, restructure, or completely eliminate public health information from federal websites undermine the ...

This results in a offset-free data-driven predictive control scheme formulated as a nonlinear program, but solvable via sequential quadratic programming. We provide a framework for analyzing recursive ...

Abstract: Multiclass classification is one of the most fundamental tasks in data mining. However, traditional data mining methods rely on the model assumption, they generally can suffer from the ...

C programming is a general-purpose, processor-oriented, and powerful language, widely used in various daily life applications. As a prerequisite for many core courses in computer science and ...

Intermountain said its Clinical Data Management team will first work with Layer Health to validate the AI’s ability to achieve high accuracy prior to deployment, ensuring the AI meets clinical ...