Summary
Radiological Society of North America articulates principles for responsible AI in radiology, including safety and effectiveness, bias mitigation, transparency, and education. Highlights RSNA’s role in certification and training resources and encourages rigorous evaluation and ongoing monitoring.
Healthcare Implications
Radiology groups can map local AI governance (selection, deployment, monitoring) to the statement’s principles. Useful for credentialing, privileging, and quality committees overseeing imaging AI.