Artificial Intelligence (AI)

Center for Intelligent Imaging SRG Kickoff Meeting: Introducing “Versa”

The first ci2 Specialized Research Group meeting of 2024 introduced UCSF's new large language model tools that are now available to researchers, clinicians, and staff.

AI and Novel Imaging Conference 2023

During the Advances in Artificial Intelligence and Novel Imaging Methods Conference Showcasing Hyperpolarized C-13, Midfield, and Information Commons, the Center for Intelligent Imaging (ci2) and the Hyperpolarized MRI Technology Resource Center hosted collaborators from Christian-Albrechts-University of Kiel. This event is the final event of the annual commemoration of ci2’s third anniversary.  

Delegation from Germany visits UCSF to launch AI partnership with Christian-Albrechts-Universität

On Wednesday, June 7, the UCSF Department of Radiology and Biomedical Imaging hosted a delegation of German political leaders and academics from the state of Schleswig-Holstein for the official launch of AI FLEX, a federated learning exchange project with great promise for advancing biomedical imaging and improving patient care.

Automated AI Coronary Artery Calcium Scoring is Live on all UCSF Non-Contrast Chest CTs

An artificial intelligence (AI) algorithm using deep learning can enable clinicians to estimate the coronary artery calcium scoring score on routine non-contrast chest CT, potentially allowing opportunistic early preventive interventions. A multi-center team (including UCSF) took part in a study and developed a fully automatic, end-to-end deep learning model for automated CAC scoring using routine non-gated unenhanced chest CT exams.

A Checklist for Radiology Departments Seeking to Purchase AI

A trio of imaging informatics experts looked at everything radiology departments need to consider before purchasing AI. Marc Kohli, MD and John Mongan, MD were authors on this article, recently published in the Journal of the American College of Radiology

AI Rivals Expert Radiologists at Detecting Brain Hemorrhages

Richly annotated training data vastly improves deep learning algorithm's accuracy. 

Jae Ho Sohn, MD, MS Talks About the Present and Future of AI in Health Care

A recent video story from the Washington Post looks at artificial intelligence (AI) and its future in health care. Jae Ho Sohn, MD, MS appears on this video.