Dr. Howard Steinbach Memorial Lecture: 'Machine Learning and Artificial Intelligence in Musculoskeletal Imaging'

Christopher F. Beaulieu MD, PhD, is Professor of Radiology, Associate Chair of Education, and former Chief of Musculoskeletal Imaging at Stanford University. He received his MD degree and a PhD degree in Biological Structure from the University of Washington in Seattle, WA.  His dissertation research involved nuclear magnetic resonance studies of eye lens transparency and early cataract formation. He was a resident and chief resident in radiology at Duke University in Durham, NC, followed by a fellowship in Body Imaging at Stanford. Subsequently, he was a visiting fellow in musculoskeletal imaging (MSK) at the University of California, San Diego.  His prior NIH-funded research focused on advanced computer graphics and computer-aided polyp detection methods for CT colonography (“virtual colonoscopy”).  He has also worked on image processing and content-based-image-retrieval (CBIR) for liver lesions on CT and numerous technical and clinical MSK projects.  His primary current research involves medical informatics, machine learning and artificial intelligence techniques applied to the challenging area of bone tumor diagnosis on radiography.