Musculoskeletal

Radiology Investigators Awarded NIH Diversity Supplements in 2022-23

The National Institute of Health’s (NIH) National Institute on Minority Health and Health Disparities (NIMHD) awards diversity supplements to increase diversity in the research.

UCSF Radiology Welcomes Two New Faculty Members

UCSF welcomes new faculty Drs. Weiya Mu and Jonathan Friedman to the Department of Radiology and Biomedical Imaging.

UCSF Radiology Welcomes Three New Assistant Professors to the Faculty

Christopher Brunson, MD, an interventional radiologist, will join ZSFG. Kevin Sweetwood, MD, will continue with our musculoskeletal division. Allen Ye, MD, PhD, will join our Zuckerberg San Francisco General Hospital team as a neuroradiologist.

UCSF Neuro and Musculoskeletal CME Program in Hawaii

The UCSF Radiology CME Program is pleased to announce that we will be hosting the UCSF Neuro and Musculoskeletal Imaging CME course at the Fairmont Orchid Resort and Spa on the Big Island of Hawaii. Join us from Sunday, February 5 – Friday, February 10, 2023.

Advancing Focused Ultrasound Technology for Musculoskeletal Applications and Cancer Treatment

Once Matthew Bucknor, MD realized the full potential of focused ultrasound technology, he knew that he wanted to help drive its advancement moving forward. Now, he is a lead radiologist at UCSF Radiology in performing focused ultrasound treatments and research.

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

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

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.

A Deep Learning Model Predicts Total Knee Replacement (TKR) from MRI

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 New Deep Learning Model Aids in Diagnosis and Health Outcomes of Hip Fractures

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. 

A New Deep Learning Approach for Image Analysis of Osteoarthritis

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.

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