Researchers from the University of California, Berkeley and University of California, San Francisco have released an open-source AI model, Pillar-0, trained to interpret and analyze medical images.
The model’s research, code and documentation are available for free online to “accelerate research and clinical adoption,” according to a Nov. 20 news release from UC Berkeley.
Pillar-0 was validated on chest, abdomen and brain CT scans, and breast MRI scans, achieving an AUC — area under the curve — of .87, compared to AUCs of .76 from Google’s MedGemma, .75 from Microsoft’s MI2, and .70 from Alibaba’s Lingshu models, according to the release.
Access the model here.
