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Enhancing Advanced Breast Cancer Predictions Across Races

Enhancing Advanced Breast Cancer Predictions Across Races
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California
United-states
Oakland
San-francisco
American
Dianal-miglioretti
Karla-kerlikowske
Michaelcs-bissell
Shuai-chen
Christophi-lee
Brianl-sprague
American-joint-committee-on-cancer

Refining Precision Prevention for Benign Breast Disease

Many questions remain surrounding accurately classifying the risk of developing invasive breast cancer associated with the benign breast disease diagnoses of nonproliferative lesions and proliferative changes without atypia.

California
United-states
San-antonio
Texas
Anne-marie-mccarthy
Olivia-sattayapiwat
University-of-pennsylvania
Breast-cancer-surveillance-consortium
National-comprehensive-cancer-network
Breast-cancer-surveillance-consortium-olivia-sattayapiwat
University-of-california-at-davis
University-of-pennsylvania-anne-marie-mccarthy

False-Positive Mammography Results and Risk for Cancer Death

After a false-positive mammography result, women have a higher risk of developing and dying of breast cancer, but the risk varies by patient-specific characteristics.

California
United-states
Sweden
Stockholm
Swedish
Dianal-miglioretti
Xinhe-mao
Breast-cancer-surveillance-consortium
University-of-california
Karolinska-institute
Stockholm-mammography-screening
Karolinska-mammography-project

How Artificial Intelligence Is Improving Cancer Screening

Artificial intelligence has been used for years to interpret medical imaging, and its role n mammography is expanding.

Rachel-brem
Kaiser-permanente
Breast-cancer-surveillance-consortium
Breast-imaging
Interventional-center
George-washington-university
Cancer-center
Find-it-early-act

AI is living up to its promise as a tool for radiology

In recent years, AI has proven its effectiveness in breast cancer screening, showing potential to predict future cancer risk from mammograms, potentially saving lives and improving early detection programs.

Breast-cancer-surveillance-consortium

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