Rad AI

Rad AI reports use by more than 1,400 radiology practices, nine of the ten largest U.S. radiology groups and over 40 percent of U.S. health systems, demonstrating broad production deployment.

Rad AI has large health-system and radiology-group deployments, including Yale New Haven Health and migrations involving hundreds of radiologists.

Rad AI has large health-system and radiology-group deployments, including Yale New Haven Health and migrations involving hundreds of radiologists.

Rad AI describes training impressions on individual radiologists' historical reports to preserve their language and style, with automatic insertion of specific consensus guideline recommendations and integration into PowerScribe and Fluency.

Rad AI develops radiology reporting, impression generation and workflow automation systems specialized for diagnostic imaging.

Rad AI develops radiology reporting, impression generation and workflow automation systems specialized for diagnostic imaging.

Rad AI announced a $60 million Series C on January 30, 2025, at a $525 million valuation, led by Transformation Capital, with total investment above $140 million. This financing fact is distinct from the existing clinical deployment and integration evidence.

Rad AI demonstrates health-system integration, radiologist workflow migration and production deployment across complex clinical environments.

Rad AI demonstrates health-system integration, radiologist workflow migration and production deployment across complex clinical environments.

Rad AI's integration-engineering posting describes FHIRcast context synchronization, XML/JSON connectors, reusable integration components, certificate and SSO handling, tracing and end-to-end staging tests.

ML and clinical workflow skills transfer to adjacent health-tech roles, but radiology, diagnostics and regulated healthcare specialization materially constrain portability.

ML and clinical workflow skills transfer to adjacent health-tech roles, but radiology, diagnostics and regulated healthcare specialization materially constrain portability.