Rad AI

Rad AI is a radiology-AI company built around a different part of the imaging workflow than the detection vendors: the report itself. Radiologists spend much of their day dictating findings and composing the "impression" — the summary that drives clinical decisions. Rad AI uses generative language models, tuned on radiology, to draft impressions and automate reporting and worklist tasks, learning each radiologist's style so the draft needs review rather than rewriting. The company reports substantial time savings and, in 2026, a peer-reviewed study of its reporting product.

Rad AI is notable as an on-brand example of generative AI applied to a high-value professional workflow: it is not diagnosing, but compressing the language work that surrounds diagnosis. That framing also defines its guardrails — the radiologist remains responsible for the final report, and the tool's value is measured in minutes saved per study and reduced burnout rather than in autonomous decisions. It sits alongside the detection vendors (Aidoc, Viz.ai, Qure.ai) as a complementary layer: those tools find and prioritize; Rad AI helps write up the result.