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Gigascience
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December 1, 2021
Erratum to: An overview of the National COVID-19 Chest Imaging Database: data quality and cohort analysis
Dominic Cushnan, Oscar Bennett, Rosalind Berka, et al.
Breast Cancer Research : BCR
|
February 20, 2026
Change in mammographic density as a potential predictor of cancer recurrence after breast conservation surgery and adjuvant endocrine therapy: results of the MEDICI study
Sarah L Savaridas, Andrea Marshall, Kulsam Ali, et al.
International Journal of Cancer
|
October 12, 2024
Diagnostic performance of tomosynthesis plus synthetic mammography versus full-field digital mammography with or without tomosynthesis in breast cancer screening: A systematic review and meta-analysis
Wasim Hamad, Michael J Michell, Jonathan P Myles, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|
May 5, 2010
ImmunoGrid: towards agent-based simulations of the human immune system at a natural scale
Mark Halling-Brown, Francesco Pappalardo, Nicolas Rapin, et al.
The European Respiratory Journal
|
July 4, 2020
Using imaging to combat a pandemic: rationale for developing the UK National COVID-19 Chest Imaging Database
Joseph Jacob, Daniel Alexander, J Kenneth Baillie, et al.
Digital Health
|
December 6, 2021
Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic
Dominic Cushnan, Rosalind Berka, Ottavia Bertolli, et al.
Nature
|
October 15, 2020
Addendum: International evaluation of an AI system for breast cancer screening
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Nature
|
January 3, 2020
International evaluation of an AI system for breast cancer screening
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Nature Cancer
|
March 11, 2026
Impact of using artificial intelligence as a second reader in breast screening including arbitration
Lucy M Warren, Jenny Venton, Kenneth C Young, et al.
Nature Cancer
|
March 11, 2026
Diagnostic accuracy, fairness and clinical implementation of AI for breast cancer screening: results of multicenter retrospective and prospective technical feasibility studies
Christopher J Kelly, Marc Wilson, Lucy M Warren, et al.
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Search research articles
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Showing results (11-20 of 20) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 20 results.
Gigascience
|
December 1, 2021
Erratum to: An overview of the National COVID-19 Chest Imaging Database: data quality and cohort analysis
Dominic Cushnan, Oscar Bennett, Rosalind Berka, et al.
Breast Cancer Research : BCR
|
February 20, 2026
Change in mammographic density as a potential predictor of cancer recurrence after breast conservation surgery and adjuvant endocrine therapy: results of the MEDICI study
Sarah L Savaridas, Andrea Marshall, Kulsam Ali, et al.
International Journal of Cancer
|
October 12, 2024
Diagnostic performance of tomosynthesis plus synthetic mammography versus full-field digital mammography with or without tomosynthesis in breast cancer screening: A systematic review and meta-analysis
Wasim Hamad, Michael J Michell, Jonathan P Myles, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|
May 5, 2010
ImmunoGrid: towards agent-based simulations of the human immune system at a natural scale
Mark Halling-Brown, Francesco Pappalardo, Nicolas Rapin, et al.
The European Respiratory Journal
|
July 4, 2020
Using imaging to combat a pandemic: rationale for developing the UK National COVID-19 Chest Imaging Database
Joseph Jacob, Daniel Alexander, J Kenneth Baillie, et al.
Digital Health
|
December 6, 2021
Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic
Dominic Cushnan, Rosalind Berka, Ottavia Bertolli, et al.
Nature
|
October 15, 2020
Addendum: International evaluation of an AI system for breast cancer screening
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Nature
|
January 3, 2020
International evaluation of an AI system for breast cancer screening
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Nature Cancer
|
March 11, 2026
Impact of using artificial intelligence as a second reader in breast screening including arbitration
Lucy M Warren, Jenny Venton, Kenneth C Young, et al.
Nature Cancer
|
March 11, 2026
Diagnostic accuracy, fairness and clinical implementation of AI for breast cancer screening: results of multicenter retrospective and prospective technical feasibility studies
Christopher J Kelly, Marc Wilson, Lucy M Warren, et al.
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of 2