The Foundation for Agentic AI in Radiology
Introducing PAIRsdk — a new framework uniting radiology through intelligent collaboration.
A new developer framework designed to unify how radiology systems, imaging platforms, and AI models communicate and act — through a shared, structured foundation.
PAIRsdk waiting list
What Is PAIRsdk
PAIRsdk is RADPAIR’s developer framework designed to accelerate the adoption of Agentic AI across radiology.
Built with the intention of being open sourced, it provides the foundation for creating intelligent, interoperable, and voice-first workflows that connect people, platforms, and data.
PAIRsdk brings together five core components:
- MCP (Model Context Protocol) — the connection layer linking AI tools and clinical systems.
- RDS (Report Data Schema) — the canonical structure for radiology report data.
- RDT (Report Display Template) — a standardized way to render and format reports.
- RIP (Report Interaction Policy) — defines editing, confirmation, and user-permission rules.
- AEP (Actions & Events Protocol) — a universal vocabulary for AI actions and workflow events.
Why It Matters
- Interoperability Without Reinvention
- PAIRsdk complements existing standards like IDR and FHIR, adding the operational layer those frameworks don’t define.
- Efficiency & Safety
- Built for deterministic, auditable AI actions and role-based permissions.
- Future-Proof Design
- Structured JSON and modular components reduce complexity and avoid vendor lock-in.
Governance & Next Steps
RADPAIR’s intention is to open-source the standard once coalition governance is established.
Working together with industry partners, the goal is to finalize governance and publish the open standard in 2026.
Join The Waitlist
Be first to explore the framework, contribute feedback, and help shape the governance process.
Sign-up for our newsletter to get the latest RADPAIR news and resources to your inbox
We respect your privacy.