Articles from HAUS on behalf of Pillar Team

University of California, Berkeley and University of California, San Francisco researchers today released Pillar (Pillar-0), an open-source AI model that analyzes medical images and recognizes conditions with an unprecedented degree of diagnostic accuracy. Unlike existing tools that are limited to a handful of conditions or models primarily designed for 2D images, Pillar-0 interprets 3D volumes directly and can recognize hundreds of conditions from a single CT or MRI exam. With over 500 million CT and MRI scans performed annually, imaging volumes are creating unsustainable capacity gaps for radiologists. Pillar-0 represents a new frontier in medical imaging models and aims to serve as the backbone for AI-powered advances that augment human expertise in radiology.