Question 1

What is clinical AI governance?

Accepted Answer

Clinical AI governance is the systematic oversight of AI systems in healthcare—encompassing policy development, risk assessment, performance monitoring, and compliance management for AI tools that impact patient care.

Question 2

Who needs AI governance solutions?

Accepted Answer

Healthcare delivery organizations that purchase clinical AI—health systems, academic medical centers, radiology practices, and community hospitals. 84% currently lack formal AI governance policies.

Question 3

What makes AshMatics different from generic MLOps?

Accepted Answer

AshMatics is purpose-built for healthcare with native DICOM, HL7, and FHIR integration. We specialize in production clinical AI—particularly medical imaging (77% of FDA-approved AI). We serve organizations that buy AI, not build it.

Question 4

Can AshMatics be deployed on-premises?

Accepted Answer

Yes. Hybrid cloud architecture supports full cloud, on-premises, or split deployment. Built on open source (Kubernetes, PostgreSQL, Neo4j) to prevent vendor lock-in.

Question 5

What compliance frameworks does AshMatics support?

Accepted Answer

NIST AI Risk Management Framework, FDA CDRH guidance, ISO 42001, HIPAA, and state AI legislation like the Colorado AI Act.

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Research Papers

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA

Reaction to Joint Statement on the Use of AI Tools in Radiology

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review

Preparing Radiologists to Lead in the Era of Artificial Intelligence