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BMJ (Clinical Research Ed.)
|
March 28, 2006
Evaluating new screening tests for breast cancer
Les Irwig, Nehmat Houssami, Bruce Armstrong, et al.
Breast (Edinburgh, Scotland)
|
February 3, 2007
Quality of breast imaging reports falls short of recommended standards
Nehmat Houssami, John Boyages, Kirsty Stuart, et al.
Breast (Edinburgh, Scotland)
|
December 14, 2020
Artificial intelligence (AI) in breast cancer care - Leveraging multidisciplinary skills to improve care
Maria Joao Cardoso, Nehmat Houssami, Giuseppe Pozzi, et al.
Journal of Medical Screening
|
August 12, 2024
Simulated arbitration of discordance between radiologists and artificial intelligence interpretation of breast cancer screening mammograms
M Luke Marinovich, William Lotter, Andrew Waddell, et al.
JAMA Surgery
|
August 29, 2020
Changes in Reoperation After Publication of Consensus Guidelines on Margins for Breast-Conserving Surgery: A Systematic Review and Meta-analysis
M Luke Marinovich, Naomi Noguchi, Monica Morrow, et al.
Artificial Intelligence in Medicine
|
January 9, 2022
Artificial intelligence (AI) in breast cancer care - leveraging multidisciplinary skills to improve care
Maria Joao Cardoso, Nehmat Houssami, Giuseppe Pozzi, et al.
Expert Review of Medical Devices
|
June 22, 2018
Systematic review of agreement between tomosynthesis and pathologic tumor size for newly diagnosed breast cancer and comparison with other imaging tests
M Luke Marinovich, Petra Macaskill, Daniela Bernardi, et al.
Journal of Clinical Epidemiology
|
February 21, 2006
New methods give better estimates of changes in diagnostic accuracy when prior information is provided
Les Irwig, Petra Macaskill, Stephen D Walter, et al.
Annals of Surgical Oncology
|
January 30, 2014
The association of surgical margins and local recurrence in women with early-stage invasive breast cancer treated with breast-conserving therapy: a meta-analysis
Nehmat Houssami, Petra Macaskill, M Luke Marinovich, et al.
Expert Review of Medical Devices
|
April 20, 2019
Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI's potential in breast screening practice
Nehmat Houssami, Georgia Kirkpatrick-Jones, Naomi Noguchi, et al.
Page
of 32
Search research articles
Search
Showing results (71-80 of 313) with videos related to
Sort By:
Page
of 32
BMJ (Clinical Research Ed.)
|
March 28, 2006
Evaluating new screening tests for breast cancer
Les Irwig, Nehmat Houssami, Bruce Armstrong, et al.
Breast (Edinburgh, Scotland)
|
February 3, 2007
Quality of breast imaging reports falls short of recommended standards
Nehmat Houssami, John Boyages, Kirsty Stuart, et al.
Breast (Edinburgh, Scotland)
|
December 14, 2020
Artificial intelligence (AI) in breast cancer care - Leveraging multidisciplinary skills to improve care
Maria Joao Cardoso, Nehmat Houssami, Giuseppe Pozzi, et al.
Journal of Medical Screening
|
August 12, 2024
Simulated arbitration of discordance between radiologists and artificial intelligence interpretation of breast cancer screening mammograms
M Luke Marinovich, William Lotter, Andrew Waddell, et al.
JAMA Surgery
|
August 29, 2020
Changes in Reoperation After Publication of Consensus Guidelines on Margins for Breast-Conserving Surgery: A Systematic Review and Meta-analysis
M Luke Marinovich, Naomi Noguchi, Monica Morrow, et al.
Artificial Intelligence in Medicine
|
January 9, 2022
Artificial intelligence (AI) in breast cancer care - leveraging multidisciplinary skills to improve care
Maria Joao Cardoso, Nehmat Houssami, Giuseppe Pozzi, et al.
Expert Review of Medical Devices
|
June 22, 2018
Systematic review of agreement between tomosynthesis and pathologic tumor size for newly diagnosed breast cancer and comparison with other imaging tests
M Luke Marinovich, Petra Macaskill, Daniela Bernardi, et al.
Journal of Clinical Epidemiology
|
February 21, 2006
New methods give better estimates of changes in diagnostic accuracy when prior information is provided
Les Irwig, Petra Macaskill, Stephen D Walter, et al.
Annals of Surgical Oncology
|
January 30, 2014
The association of surgical margins and local recurrence in women with early-stage invasive breast cancer treated with breast-conserving therapy: a meta-analysis
Nehmat Houssami, Petra Macaskill, M Luke Marinovich, et al.
Expert Review of Medical Devices
|
April 20, 2019
Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI's potential in breast screening practice
Nehmat Houssami, Georgia Kirkpatrick-Jones, Naomi Noguchi, et al.
Page
of 32