Two Generative AI Radiology Tools Get FDA Breakthrough

Get the Health newsletter
Daily health & science — research, biotech, public health, the studies worth knowing. Free.
- The FDA granted breakthrough designation to two devices using generative AI to interpret chest X-rays and draft radiology reports typically written by human radiologists.
- Large vision language models process the entire image and draft many of its findings for radiologist review, going beyond older machine-learning systems that only highlighted suspicious spots for human interpretation.
- Cognita, a Stanford researcher-founded startup acquired late last year by Radiology Partners, received one of the breakthrough designations in March.
- Aidoc announced its own breakthrough designation Thursday for a tool called First Read, designed to detect and describe four life-threatening findings on chest X-rays.
- The source notes that generative AI's ability to draft reports is challenging traditional validation and regulatory frameworks built around older image-analysis software.
Why it matters: Two breakthrough designations in roughly two months — to Cognita and Aidoc — show the FDA engaging with generative AI tools that write radiology reports, not just flag images. The source explicitly flags this capability as already challenging existing validation and regulatory frameworks, putting vendors and radiologists on a faster but less-charted approval path for clinical AI.




