UCSF Center for Intelligent Imaging SRG Pillar Meeting
Date
Practical Considerations for Addressing Fairness and Bias Issues in AI for Radiology
Type
Time Duration
Location
Video Conference To
Practical Considerations for Addressing Fairness and Bias Issues in AI for Radiology
Speakers
Paul Yi, MD is an Assistant Professor of Diagnostic Radiology and Nuclear Medicine at the University of Maryland School of Medicine, where he is also Director of the University of Maryland Medical Intelligent Imaging (UM2ii) Center. Before a career in Radiology, Dr. Yi completed 2 years of orthopaedic surgery residency at the University of California, San Francisco (UCSF). After completing radiology residency and fellowship at Johns Hopkins in 2021.
Dr. Yi joined the University of Maryland to build the UM2ii Center, where he leads an interdisciplinary lab of physicians and engineers to build AI in medical imaging from bench to bedside. He is the recipient of numerous honors for his work, including the Early Career Achievement Award from the Society for Imaging Informatics in Medicine (SIIM). He has published over 130 peer- reviewed manuscripts and his work has been profiled in numerous venues, including US News & World Report, Scientific American, and The Los Angeles Times. As a practicing physician-scientist, his research focuses on the development of AI tools for medical imaging applications, with special emphasis on evaluating the trustworthiness and fairness of deep learning models.