Artificial intelligence (AI) may find breast cancer on mammograms sooner

Questions To Ask Your Health Care Provider

• Am I at high risk for breast cancer?
• What screening methods are best for me?
• Does your clinic use AI to help read mammograms?

Open Clinical Trials

The following are breast cancer screening or prevention studies enrolling people at high risk for breast cancer.   

• NCT04711109: Denosumab for Preventing Breast Cancer in Women with a BRCA1 Inherited Mutation (BRCA-P). This study will test the effectiveness of a drug (denosumab) on preventing the development of breast cancer in women with an inherited BRCA1 mutation.
• NCT04067726: Denosumab and Mammographic Density in Premenopausal Women With Dense Breasts (TRIDENT). This study is looking at the drug denosumab to learn if it can reduce breast density in high-risk premenopausal women who have dense breasts. 
• The Risk Factor Analysis of Hereditary Breast and Ovarian Cancer In Women  with BRCA1, BRCA2 or PALB2 Mutations.  This study seeks to improve researchers’ understanding of how hormonal, reproductive and lifestyle factors may be associated with cancer in high-risk people.
• NCT02620852: Women Informed to Screen Depending on Measures of Risk (WISDOM) study.  The goal of this study is to determine if breast cancer screening can be made better by personalizing each woman’s mammogram schedule, compared to the current one-size-fits-all, annual approach.

Additional risk-management clinical trials for people at high risk for breast cancer may be found here.