BREAST CANCER SCREENING

This study compares a new mammogram machine (Siemens MAMMOMAT B.brilliant) to a standard one (Siemens MAMMOMAT Revelation) to see if it provides clearer images of breast calcifications, which can be a sign of cancer. About 100 women with suspicious calcifications will get both sc…

This study compares two ways of reading mammograms for breast cancer screening. The standard method uses two radiologists to review each image. The new method uses one radiologist with the help of artificial intelligence (AI). The goal is to see if the AI-assisted single reading …

This study is testing whether AI-assisted ultrasound and mammography can improve breast cancer screening compared to standard methods. About 16,000 women aged 35-69 will be split into two groups: one gets AI-assisted imaging, the other gets routine screening. The goal is to see i…

This large trial compares standard mammogram reading by radiologists to reading with the help of an FDA-approved AI tool. The goal is to see if AI improves cancer detection and reduces unnecessary callbacks. About 400,000 adult women across six U.S. health systems will participat…

This study compares annual mammograms to a personalized screening schedule based on each woman's breast cancer risk. Participants choose or are assigned to either annual screening or risk-based screening, which uses genetic testing and personal history. The goal is to see if pers…

This study enrolls 820 Black and Hispanic women aged 45-74 who are due for both breast and colorectal cancer screening. It compares a bundled navigation program covering both cancers to a single-cancer navigation program. The goal is to see if bundled navigation increases screeni…

This study looks at how breast density affects mammogram accuracy in women aged 45 to 75. Dense breast tissue can make cancers harder to see, leading to missed tumors or unnecessary follow-up tests. Researchers will review past mammograms and test a software tool that automatical…