Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can reach Katie on Signal at palmer.01.

The biggest radiology practice in the United States is leaning even further into artificial intelligence. The tech arm of Nashville-based Radiology Partners, which includes more than 4,000 radiologists reading more than 55 million images every year, last month acquired a new AI company for $80 million: Cognita Imaging, a Stanford researcher-founded startup that’s hoping to win the race to capitalize on foundation models in radiology.

By training vision-language models on large numbers of radiological images and their written radiology reports, the hope is that AI will be able to read an X-ray or CT scan like a radiologist would: Not just by looking for a single, predetermined abnormality, but for any finding that looks important. Many existing and new radiology companies have launched themselves at that goal, despite concerns about whether such broadly-targeted technology can be validated and used safely.

Radiology Partners, which has long acted as a large-scale testing ground for AI in radiology, could uniquely accelerate that work. Over the last year, the company’s technology and AI division Mosaic Clinical Technologies has incorporated Cognita’s model into a tool called Mosaic Drafting, which analyzes X-rays and head CTs and spits out the text of a preliminary radiology report for a human radiologist to review, edit, and approve. 

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