Virtual

This session examines the state of AI in global health through a central question: What structural challenges does global health face, which of those can AI realistically help address, under what conditions, and where does hype outpace the evidence?

In this presentation, Dr. Goodarz Danaei will discuss emerging approaches to cardiovascular risk prediction and prevention, including the use of causal inference methods and nationally representative data to develop more accurate risk models. He will explore the limitations of existing prediction tools, which often rely on outdated cohort studies or nonrepresentative electronic medical record data, and present new research aimed at improving population-level prevention strategies in the United States and globally.