
Elizabeth S. Burnside
Professor · Breast Cancer Detection
University of Wisconsin-MadisonAbout
Elizabeth S. Burnside is a Professor of Radiology at the University of Wisconsin-Madison School of Medicine and Public Health (SMPH), serving as Deputy Director of the Institute for Clinical and Translational Research and Associate Dean for Team Science and Interdisciplinary Research. She specializes in breast imaging and computational methods to improve early breast cancer detection, including Bayesian Network development for radiologist decision support. Her roles include Executive Co-Director of the Institute of Clinical and Translational Science and leadership in the SUMMIT Lab, focusing on tendon injuries and imaging innovations. She holds affiliate appointments in Biostatistics and Medical Informatics and Population Health Sciences.
Education: Tufts University School of Medicine (1993), residency and fellowship at University of California San Francisco (1998, 2001). Her research secures NIH funding since 2006, leading to over 150 peer-reviewed articles. Notable achievements include the 2024 RSNA Gold Medal, the first UW SMPH radiologist to receive it, and the 2023 Advancing Women in Medicine and Science Award. She champions AI integration in radiology and shared decision-making in breast cancer screening.
Research interests span breast cancer risk prediction, AI applications, and translational team science. She leads the NIH Clinical and Translational Sciences Award and collaborates on projects like the All of Us Research Program. Her work emphasizes improving population-based screening, imaging informatics, and interdisciplinary healthcare innovation.
- Awards: RSNA Gold Medal (2024), Advancing Women in Medicine Award (2023), ACR Grant (2024).
- Grants: Principal Investigator on NIH grants, including the CTSA.
- Leadership: Completed ELAM, Kauffman Seminar, and PLDP programs.
Her contributions include developing AI-driven clinical decision tools, advancing breast cancer risk models, and enhancing imaging protocols through interdisciplinary collaboration.
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