Figure 3.

A Roadmap for Implementing “AI in Action”

A roadmap for “AI in action”, transforming cardiovascular health systems from sparse, reactive, hospital-centric episodes to a multimodal, connected learning ecosystem that continuously measures, learns, and improves cardiovascular outcomes. Guardrails ensure models learn the right signals and remain safe over time. Operationalization requires AI models to be generalizable, interoperable, and usable. Diffusion will require explainability, thoughtful regulation, and engaged stakeholders for scaling of responsible use. Together, these protections support the implementation of trustworthy AI within a learning health system, toward system-wide adoption and sustained improvement.