Adjunct Assistant Research Scientist, Malone Center for Engineering in Healthcare
Director, University of Maryland Medical Intelligent Imaging (UM2ii) Center
Assistant Professor, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine
- Artificial Intelligence
- Deep Learning
- Musculoskeletal Radiology
- Trustworthiness of Deep Learning, including fairness
Paul Yi is Director of the University of Maryland Medical Intelligent Imaging (UM2ii) Center at the University of Maryland School of Medicine, where he is also an Assistant Professor of Diagnostic Radiology and Nuclear Medicine. At Johns Hopkins, he is Adjunct Research Scientist at the Malone Center for Engineering in Healthcare. Previously, he was one of the founding co-Directors of the Johns Hopkins Radiology AI Lab (RAIL).
Dr. Yi received his BA in Medical Sciences (Summa Cum Laude) and MD from Boston University through the Seven-Year Accelerated Medical Program. Prior to a career in Radiology, he completed a research fellowship in total joint arthroplasty at Rush University Medical Center with Dr. Craig Della Valle and 2 years of Orthopaedic Surgery residency training at the University of California, San Francisco (UCSF), where his prior research expertise was in the diagnosis of periprosthetic joint infection. He completed his radiology residency in 2020 and musculoskeletal imaging fellowship in 2021, both at Johns Hopkins.
Current research interests include the development and application of artificial intelligence and deep learning towards medical imaging applications, with particular interest in evaluating the trustworthiness and fairness of deep learning models in radiology. Dr. Yi is the recipient of numerous national research awards, both within the fields of Radiology and Orthopaedic Surgery, including Cum Laude awards from the Radiological Society of North America (RSNA) and American Roentgen Ray Society (ARRS) and the Frank Stinchfield Award from the Hip Society. He has published over 90 articles in the peer-reviewed medical literature and his research has been supported by the RSNA and Johns Hopkins University Discovery Award.
Dr. Yi is interested in building cross-institutional collaborations both within medicine and engineering and welcomes inquiries for any potential partnerships.