Summary
Consensus recommendations from health systems, academia, industry, and government for trustworthy AI in healthcare. Covers assurance, transparency, measurement and monitoring, and lifecycle governance; includes practical artifacts and checklists.
Healthcare Implications
Useful for hospital AI councils and product teams to define assurance evidence (pre‑deployment through post‑market monitoring). Can be mapped to regulatory expectations (e.g., U.S. Food and Drug Administration Predetermined Change Control Plan concepts) and enterprise risk controls.