Musculoskeletal 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.

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.