News

ci2 3rd Anniversary Events: Dani Ushizima, PhD and AI Computational Pathology

Artificial Intelligence Collaboration Continues Between San Francisco and Kiel, Germany

Members of the computational core team at Mission Bay: (l-r) Carolina Ramirez, Beck Olson, Dr. Jason Crane & James Hawkins.

Transforming Radiology Practice Using Artificial Intelligence

Upasana Upadhyay Bharadwaj, MD, is a T32 research fellow at the UCSF Department of Radiology and Biomedical Imaging

Ci2 Research Nationally Recognized for Debunking of Common Knee Arthritis Treatment

Keynote March 29th at 4 pm

Dorin Comaniciu Keynote Speaker at Science Sessions March 29th Event

UCSF ci2's Drs. Peder Larson and Zhen Jane Wang

Center For Intelligent Imaging Study to Yield Important Contributions to Noninvasive Kidney Imaging

Example of 3D tumor boundaries generated by the FeTS model overlaid on MRI images from a patient with glioblastoma.

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Debate Event March 8th "Is AI Ready for Primetime in Radiology"

February 23, 2023

Is AI Ready for Primetime in Radiology? Experts Debate on March 8.

The 3DLab provides valuable services by enhancing traditional 2D images, removing noise and creating 3D visualizations of anatomical regions that are easier for interpretation.

February 21, 2023

3DLab Imaging Services Improve Outcomes for Patients Inside and Outside UCSF

Longitudinal FTP prediction from baseline data via NDM.

February 14, 2023

Team Develops Tau Aggregation Predictor to Model Progression of Alzheimer's Disease

Dice scores ("Overlap, left ventricle") between the AI pipeline's LV segmentation ("AI pipeline prediction," red) and the manual LV segmentation ("EchoNet manual label") are shown.

February 3, 2023

Showing Clinicians Love During Heart Month: Deep Learning for Heart Disease Without Manual Labels

Andreas Rauschecker, MD, PhD, of the UCSF ci2 joined a panel on Radiology: AI Podcast.

January 31, 2023

How to Start an AI Research Lab: ci2's Dr. Andreas Rauschecker Discusses on Radiology: AI Podcast