Topic: Biomedical Data Science in Orthopaedics and Rehabilitation: AI for Understanding Neuromusculoskeletal Disorder
Abstract: Neuromuscular Conditions and Musculoskeletal injuries are the most common healthcare problems in the United States. Current diagnosis and evaluation methods used in the clinical settings are limited in terms of accuracy, convenience and cost. Digital imaging technologies are becoming more and more accessible in clinical settings and enable accurate and fast characterization of in vivo joint kinematics and whole body kinematics. This presentation will discuss the cutting edge research utilizing computer vision and medical imaging for neuromusculoskeletal system evaluation and demonstrates how advanced methods can be used for understanding of neuromusculoskeletal injuries.
Bio: Dr. Kang Li is an Associate Professor in the Department of Orthopaedics at Rutgers New Jersey Medical School. He is also a graduate faculty member in the Departments of Biomedical Engineering and Computer Science at Rutgers University. He was an Assistant Professor in the Department of Industrial and Systems Engineering at Rutgers University before joining the medical school. He serves as Associate Editor of IEEE Transactions on Human-Machine Systems, IEEE ACCESS, and BMC Musculoskeletal Disorders.
Dr. Li’s research interest are at the intersection of human movement biomechanics, artificial intelligence, orthopaedics, rehabilitation, robotics, and medical imaging. His research has been funded by NSF, NIH, Robert Wood Johnson Foundation, Qatar National Research Foundation, Charles and Johanna Busch Memorial Fund, and Rutgers Faculty Research Grant and Big Data Analytics Grant programs.