Musculoskeletal

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.

The UC San Francisco Department of Radiology and Biomedical Imaging is pleased to announce that Sharmila Majumdar, PhD has been awarded a research grant for the Back Pain Consortium (BACPAC) Research Program by the National Institutes of Health (NIH) to tackle the national opioid crisis.

Overall, many people are unaware of the importance of osteoporosis screening and preventive measures that can be taken. Regular screening can diagnose osteoporosis and other bone problems early.

Using high-intensity focused ultrasound (HIFU), Matthew Bucknor, MD and his team are finding new ways to treat patients with uterine fibroids and bone metastasis.

Richard Souza, PhD, PT, and his team are working with UCSF radiologists on lower extremities biomechanics research to change loading profiles and intervene in the osteoarthritis disease process.

The research of Sharmila Majumdar, PhD, focuses on osteoarthritis, osteoporosis and lower back pain, particularly on quantitative musculoskeletal imaging image processing and artificial intelligence applied to the musculoskeletal system.

Thomas Link, MD, PhD's research is focused on degenerative diseases of the musculoskeletal system, in particular on osteoporosis and osteoarthritis.

Valentina Pedoia, PhD is a data scientist applying computer vision and machine learning techniques to MRI scans to study musculoskeletal disorders.