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The Breast Journal
|
March 3, 2017
Mammography Screening: Gaps in Patient's and Physician's Needs for Shared Decision-Making
Lori L DuBenske, Sarina Schrager, Helene McDowell, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
June 24, 2016
A Utility/Cost Analysis of Breast Cancer Risk Prediction Algorithms
Craig K Abbey, Yirong Wu, Elizabeth S Burnside, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
June 12, 2018
Utility of Genetic Testing in Addition to Mammography for Determining Risk of Breast Cancer Depends on Patient Age
Shara I Feld, Jun Fan, Ming Yuan, et al.
Journal of Health Communication
|
October 28, 2020
Framing the Clinical Encounter: Shared Decision-Making, Mammography Screening, and Decision Satisfaction
Ellie F Yang, Dhavan V Shah, Elizabeth S Burnside, et al.
JAMA Oncology
|
April 21, 2017
Association of Patient Age With Outcomes of Current-Era, Large-Scale Screening Mammography: Analysis of Data From the National Mammography Database
Cindy S Lee, Debapriya Sengupta, Mythreyi Bhargavan-Chatfield, et al.
Clinical Imaging
|
December 22, 2019
Image-based screening for men at high risk for breast cancer: Benefits and drawbacks
Ryan W Woods, Lonie R Salkowski, Mai Elezaby, et al.
Frontiers in Psychology
|
March 13, 2026
Psychological safety in interdisciplinary teams: how leadership behaviors empower teams
Stephanie M Resendiz, Maria Hernandez, Molly Murphy, et al.
IEEE Transactions on Bio-Medical Engineering
|
March 11, 2009
Fluorescence spectroscopy: an adjunct diagnostic tool to image-guided core needle biopsy of the breast
Changfang Zhu, Elizabeth S Burnside, Gale A Sisney, et al.
Radiology
|
July 21, 2017
Mammography Performance Benchmarks in an Era of Value-based Care
Janie M Lee, Diana L Miglioretti, Elizabeth S Burnside, et al.
Radiology
|
August 24, 2006
Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience
Elizabeth S Burnside, Daniel L Rubin, Jason P Fine, et al.
Page
of 13
Search research articles
Search
Showing results (51-60 of 127) with videos related to
Sort By:
Page
of 13
The Breast Journal
|
March 3, 2017
Mammography Screening: Gaps in Patient's and Physician's Needs for Shared Decision-Making
Lori L DuBenske, Sarina Schrager, Helene McDowell, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
June 24, 2016
A Utility/Cost Analysis of Breast Cancer Risk Prediction Algorithms
Craig K Abbey, Yirong Wu, Elizabeth S Burnside, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
June 12, 2018
Utility of Genetic Testing in Addition to Mammography for Determining Risk of Breast Cancer Depends on Patient Age
Shara I Feld, Jun Fan, Ming Yuan, et al.
Journal of Health Communication
|
October 28, 2020
Framing the Clinical Encounter: Shared Decision-Making, Mammography Screening, and Decision Satisfaction
Ellie F Yang, Dhavan V Shah, Elizabeth S Burnside, et al.
JAMA Oncology
|
April 21, 2017
Association of Patient Age With Outcomes of Current-Era, Large-Scale Screening Mammography: Analysis of Data From the National Mammography Database
Cindy S Lee, Debapriya Sengupta, Mythreyi Bhargavan-Chatfield, et al.
Clinical Imaging
|
December 22, 2019
Image-based screening for men at high risk for breast cancer: Benefits and drawbacks
Ryan W Woods, Lonie R Salkowski, Mai Elezaby, et al.
Frontiers in Psychology
|
March 13, 2026
Psychological safety in interdisciplinary teams: how leadership behaviors empower teams
Stephanie M Resendiz, Maria Hernandez, Molly Murphy, et al.
IEEE Transactions on Bio-Medical Engineering
|
March 11, 2009
Fluorescence spectroscopy: an adjunct diagnostic tool to image-guided core needle biopsy of the breast
Changfang Zhu, Elizabeth S Burnside, Gale A Sisney, et al.
Radiology
|
July 21, 2017
Mammography Performance Benchmarks in an Era of Value-based Care
Janie M Lee, Diana L Miglioretti, Elizabeth S Burnside, et al.
Radiology
|
August 24, 2006
Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience
Elizabeth S Burnside, Daniel L Rubin, Jason P Fine, et al.
Page
of 13