Musculoskeletal Research

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.

Galateia Kazakia, PhD, and researchers in the Bone Quality Research Lab at UCSF are validating a ‘virtual bone biopsy’ using time-lapse High Resolution peripheral Quantitative Computed Tomography (HR-pQCT) for its potential to replace surgical bone biopsy. 

We are pleased to announce that Daehyun Yoon, PhD, has joined our faculty as an assistant adjunct professor in the Body Imaging Research Group as of January 9, 2023. Dr. Yoon joins us from the Stanford Radiological Sciences Laboratory.

This study from the UCSF Center for Intelligent Imaging (ci2) is a great example of the use of deep learning methods for new discovery.

A team of radiologists and orthopedists from the Center for Intelligent Imaging, or Ci2, at UCSF recently investigated the feasibility of automatic identificaiton and classification of hip fractures using deep learning. 

The purpose of the study from UCSF's MQIR group was to develop a multitask, deep learning model for grading hip osteoarthritis features on radiographs and compare its performance to that of attending-level radiologists.