UCSF Radiology Valentina Pedoia - Computer Vision and Machine Learning

“Technology in general, and machine learning specifically, are going to change how we know radiology,” says Valentina Pedoia, PhD, assistant professor in the UC San Francisco Department of Radiology and Biomedical Imaging. As a data scientist, her research focuses primarily on applying computer vision and machine learning techniques to magnetic resonance imaging (MRI) scans to study musculoskeletal disorders and osteoporosis.