BREAST CANCER SCREENING

This study compares using artificial intelligence (AI) to assist a single radiologist in reading mammograms versus the standard practice of having two radiologists read them independently. Researchers will enroll 8,000 women aged 45-69 undergoing routine breast cancer screening. …

This study compares a new breast imaging system (MAMMOMAT B.brilliant) to a standard system (MAMMOMAT Revelation) to see if it shows breast calcifications more clearly. About 100 women with suspicious calcifications will get both scans. The goal is to improve detection without ch…

This study is testing whether using artificial intelligence (AI) to help read breast ultrasound and mammogram images can find breast cancer earlier and more accurately than standard screening. About 16,000 women aged 35 to 69 will take part, with one group getting AI-assisted ima…

This study is testing whether an FDA-approved artificial intelligence (AI) tool can help radiologists find breast cancer more accurately when reading mammograms. About 400,000 adult women getting routine screening mammograms at six major U.S. health centers will be randomly assig…

This study compares two approaches to breast cancer screening: the standard annual mammogram starting at age 40 versus a personalized schedule based on each woman's individual risk. Researchers will enroll 100,000 women aged 30-74 across the U.S. to see if personalized screening …

This study tests whether offering combined breast and colon cancer screening, along with genetic risk assessment, helps more women get the right tests on time. Researchers will compare bundled navigation to single-cancer navigation in 820 Black and Hispanic women aged 45-74. The …

This study looks at how breast density affects mammogram results in 3,300 women aged 45-75. Dense breast tissue can make cancer harder to see, leading to missed tumors or extra tests. Researchers will also test a computer program that measures breast density automatically. The go…