UCSF Ci2

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

Submitted by fhoran on January 23, 2024 - 2:03pm

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

Submitted by Hanh on October 23, 2023 - 5:29pm

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.  

AI-Enabled Portable X-Ray Device Shows Promise in the Clinical Environment

Submitted by cnicholson on January 14, 2021 - 2:44pm

The UC San Francisco Department of Radiology and Biomedical Imaging noted a significant milestone for both the department and the UCSF Center for Intelligent Imaging (ci2) - full deployment of an artificial intelligence (AI)-enabled portable x-ray device into our clinical environment.

Study Results from the UCSF Ci2 Suggest Deep Learning Methods Can Help Grade ACL Injuries

Submitted by cnicholson on July 29, 2020 - 12:29pm

A team from the UCSF Center for Intelligent Imaging (ci2) developed a deep learning pipeline for diagnostic worklist prioritization and generalizability in assessing anterior cruciate ligament (ACL) lesions.

Scientists from the UCSF Ci2 Propose a Deep Learning Framework to Address the False Negative Problem of MRI Reconstruction Networks

Submitted by cnicholson on July 16, 2020 - 7:07am

A paper from a team of scientists at the UCSF Ci2 won the 2020 Best Paper Award at Medical Imaging with Deep Learning (MIDL) earlier this month.

UCSF Launches Artificial Intelligence Center to Advance Medical Imaging

Submitted by cnicholson on October 11, 2019 - 1:45pm

"Intelligent Imaging" Hub will harness computational tools in medical imaging to improve patient care.