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Elizabeth S. Burnside, MD, MPH, MS close
Elizabeth S. Burnside, MD, MPH, MS

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Elizabeth S. Burnside, MD, MPH, MS Print Friendly Page

Faculty, University of Wisconsin School of Medicine and Public Health

In medical school, Dr. Burnside got her MD degree combined with master’s in Public Health. In addition, between residency and fellowship, Dr. Burnside got a master’s degree in Medical Informatics from Stanford University. As a result her research has involved the use of artificial intelligence methods to improve decision-making in the domain of breast imaging. This multidisciplinary research is facilitated by affiliate appointments in the Departments of Biostatistics and Medical Informatics and Population Health Science at UW. Dr. Burnside received the General Electric Radiology Research Fellowship from 2003-2005 to investigate the utility of a probabilistic computer model to improve decision-making in mammography. She has published 23 peer review articles and has served on an NIH Study Section (DMG). Dr. Burnside is a subspecialty trained breast imager and provides all imaging procedures for the early diagnosis of breast cancer. She was recently elected a Fellow in the Society of Breast Imaging and is a member of the The American College of Radiology Comission on Breast Imaging Education. Dr. Burnside is a member of the UW Health Breast Center.

Specialties

Radiology

Breast Imaging

Breast MRI

Computerized Tomography (CT) Scan

Fluoroscopic Studies

Image-guided Biopsy

Magnetic Resonance Imaging (MRI) Scan

PET/MRI Scan

Ultrasound

X-ray

Clinics

University Hospital
(608) 263-8340 | (800) 323-8942 | Map
Wisconsin Institutes for Medical Research
(608) 265-8731 | | Map

Hospital Affiliation(s)

University Hospital
UnityPoint Health - Meriter

UW School of Medicine and Public Health

Department of Radiology

Professional Certifications and Education

Board Certification Diagnostic Radiology
Residency University of California San Francisco, San Francisco, CA
Medical School Tufts University School of Medicine, Boston, MA

Medical interpreters are available to help patients communicate with hospital and clinic staff. For more information, please contact interpreter services at (608) 262-9000.
PubMed Articles
Elezaby M Li G Bhargavan-Chatfield M Burnside ES DeMartini WB ACR BI-RADS Assessment Category 4 Subdivisions in Diagnostic Mammography: Utilization and Outcomes in the National Mammography Database. Radiology . 2018 Jan 9;:170770
[PubMed ID: 29315061]
Lee CS Sickles EA Burnside ES Data-Driven Mammography Screening Practices-Reply. JAMA Oncol . 2017 Dec 14;
[PubMed ID: 29242927]
Trentham-Dietz A Ergun MA Alagoz O Stout NK Gangnon RE Hampton JM Dittus K James TA Vacek PM Herschorn SD Burnside ES Tosteson ANA Weaver DL Sprague BL Comparative effectiveness of incorporating a hypothetical DCIS prognostic marker into breast cancer screening. Breast Cancer Res Treat . 2017 Nov 28;
[PubMed ID: 29185118]
Lee CS Sengupta D Bhargavan-Chatfield M Sickles EA Burnside ES Zuley ML Association of Patient Age With Outcomes of Current-Era, Large-Scale Screening Mammography: Analysis of Data From the National Mammography Database. JAMA Oncol . 2017 Aug 1;3(8):1134-1136
[PubMed ID: 28426842]
Lee JM Miglioretti DL Burnside ES Morris EA Smith RA Lehman CD Mammography Performance Benchmarks in an Era of Value-based Care. Radiology . 2017 Aug;284(2):605-607
[PubMed ID: 28723290]
Burnside ES Lee SJ Bennette C Near AM Alagoz O Huang H van den Broek JJ Kim JY Ergun MA van Ravesteyn NT Stout NK de Koning HJ Mandelblatt JS Using Collaborative Simulation Modeling to Develop a Web-Based Tool to Support Policy-Level Decision Making About Breast Cancer Screening Initiation Age. MDM Policy Pract . 2017 Jul;2
[PubMed ID: 29376135]
Strigel RM Burnside ES Elezaby M Fowler AM Kelcz F Salkowski LR DeMartini WB Utility of BI-RADS Assessment Category 4 Subdivisions for Screening Breast MRI. AJR Am J Roentgenol . 2017 Jun;208(6):1392-1399
[PubMed ID: 28792802]
Strigel RM Rollenhagen J Burnside ES Elezaby M Fowler AM Kelcz F Salkowski L DeMartini WB Screening Breast MRI Outcomes in Routine Clinical Practice: Comparison to BI-RADS Benchmarks. Acad Radiol . 2017 Apr;24(4):411-417
[PubMed ID: 27986508]
DuBenske LL Schrager S McDowell H Wilke LG Trentham-Dietz A Burnside ES Mammography Screening: Gaps in Patient's and Physician's Needs for Shared Decision-Making. Breast J . 2017 Mar;23(2):210-214
[PubMed ID: 28252231]
Fan J Wu Y Yuan M Page D Liu J Ong IM Peissig P Burnside E Structure-Leveraged Methods in Breast Cancer Risk Prediction. J Mach Learn Res . 2016 Dec;17
[PubMed ID: 28559747]
Li H Zhu Y Burnside ES Drukker K Hoadley KA Fan C Conzen SD Whitman GJ Sutton EJ Net JM Ganott M Huang E Morris EA Perou CM Ji Y Giger ML MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays. Radiology . 2016 Nov;281(2):382-391
[PubMed ID: 27144536]
Neuman HB Schumacher JR Francescatti AB Adesoye T Edge SB Burnside ES Vanness DJ Yu M Si Y McKellar D Winchester DP Greenberg CC Utility of Clinical Breast Examinations in Detecting Local-Regional Breast Events After Breast-Conservation in Women with a Personal History of High-Risk Breast Cancer. Ann Surg Oncol . 2016 Oct;23(10):3385-91
[PubMed ID: 27491784]
Bozkurt S Gimenez F Burnside ES Gulkesen KH Rubin DL Using automatically extracted information from mammography reports for decision-support. J Biomed Inform . 2016 Aug;62:224-31
[PubMed ID: 27388877]
Burnside ES Sickles EA Duffy SW A Pragmatic Approach to Determine Components of Optimal Screening Mammography Practice. JAMA . 2016 May 10;315(18):1951-3
[PubMed ID: 27163983]
Lee CS Bhargavan-Chatfield M Burnside ES Nagy P Sickles EA The National Mammography Database: Preliminary Data. AJR Am J Roentgenol . 2016 Apr;206(4):883-90
[PubMed ID: 26866649]
Burnside ES Drukker K Li H Bonaccio E Zuley M Ganott M Net JM Sutton EJ Brandt KR Whitman GJ Conzen SD Lan L Ji Y Zhu Y Jaffe CC Huang EP Freymann JB Kirby JS Morris EA Giger ML Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage. Cancer . 2016 Mar 1;122(5):748-57
[PubMed ID: 26619259]
Benndorf M Wu Y Burnside ES A history of breast cancer and older age allow risk stratification of mammographic BI-RADS 3 ratings in the diagnostic setting. Clin Imaging . 2016 Mar-Apr;40(2):200-4
[PubMed ID: 26995570]
Abbey CK Wu Y Burnside ES Wunderlich A Samuelson FW Boone JM A Utility/Cost Analysis of Breast Cancer Risk Prediction Algorithms. Proc SPIE Int Soc Opt Eng . 2016 Feb 27;9787
[PubMed ID: 27335532]
Wu Y Abbey CK Liu J Ong I Peissig P Onitilo AA Fan J Yuan M Burnside ES Discriminatory power of common genetic variants in personalized breast cancer diagnosis. Proc SPIE Int Soc Opt Eng . 2016 Feb 27;9787
[PubMed ID: 27279675]
Burnside ES Liu J Wu Y Onitilo AA McCarty CA Page CD Peissig PL Trentham-Dietz A Kitchner T Fan J Yuan M Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy. Acad Radiol . 2016 Jan;23(1):62-9
[PubMed ID: 26514439]