Summary
Practice parameter establishing operational expectations for responsible use of artificial intelligence in imaging workflows. The parameter defines infrastructure, personnel roles, governance processes, documentation and inventory practices, security and compliance considerations, model selection, local acceptance testing, user training, monitoring, and management of non-FDA-regulated models for imaging AI.
Healthcare Implications
Provides imaging practices with a concrete governance framework for selecting, deploying, monitoring, and improving AI tools in radiology and medical imaging. It is directly relevant to hospitals, imaging centers, radiologists, technologists, medical physicists, informatics teams, developers, and administrators because it sets expectations for AI governance committees, tool inventories, pre-deployment testing, performance monitoring, drift/safety review, privacy/security controls, and continuous quality improvement.