BREAST CANCER SCREENING

This study is comparing two different mammogram machines to see if a newer model takes better pictures of tiny calcium deposits in the breast, which can be an early sign of cancer. About 100 women who need a follow-up diagnostic mammogram after a suspicious screening will have sc…

This study is testing whether using artificial intelligence (AI) to help read mammograms and breast ultrasounds can improve early breast cancer detection in large-scale screening programs. It will enroll 16,000 women aged 35-69. One group will get AI-assisted screening, while the…

This large study is testing whether an FDA-approved artificial intelligence (AI) tool helps radiologists do a better job when reading screening mammograms. It will involve 400,000 mammograms across six major US health systems. For each mammogram, a computer will randomly decide i…

This study looks back at the mammograms of 3,300 women to see how breast density affects cancer detection. Dense breast tissue can make tumors harder to see on a mammogram, potentially leading to missed cancers or unnecessary extra tests. The research also tests a new software to…

This large study aims to find out if a personalized breast cancer screening schedule is as safe and effective as the standard annual mammogram. It will enroll up to 100,000 women aged 30-74 across the U.S. Participants can choose to either follow a personalized screening plan bas…