First Radiology Generative AI Gets FDA Breakthrough Designation
Cognita CXR drafts preliminary chest x-ray reports for radiologist review, with validation showing 16-65% detection improvements
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Cognita CXR drafts preliminary chest x-ray reports for radiologist review, with validation showing 16-65% detection improvements
UC Berkeley and UCSF release an open-source radiology AI that processes 3D scans 150x faster than existing models and beats big tech on diagnostic accuracy.
Harvard researchers built a foundation model that extracts health signals from routine brain scans without requiring labeled training data, outperforming task-specific AI on seven clinical applications.
University of Michigan researchers built Prima, a vision language model trained on 200,000 brain scans that diagnoses 52 neurological conditions with up to 97.5% accuracy and triages emergencies in real time.