Search Tag: Breast Cancer Detection
2025 11 Oct
Large, well-annotated mammography resources are essential for developing and evaluating artificial intelligence in population screening, particularly when labels include Breast Imaging Reporting and Data System (BI-RADS) categories, breast composition and quadrant-level localisation. Such structure supports both classification and localisation...Read more
2025 11 Oct
Large, well-annotated mammography resources are essential for developing and evaluating artificial intelligence in population screening, particularly when labels include Breast Imaging Reporting and Data System (BI-RADS) categories, breast composition and quadrant-level localisation. Such structure supports both classification and localisation...Read more
2025 11 Oct
Large, well-annotated mammography resources are essential for developing and evaluating artificial intelligence in population screening, particularly when labels include Breast Imaging Reporting and Data System (BI-RADS) categories, breast composition and quadrant-level localisation. Such structure supports both classification and localisation...Read more
2025 11 Oct
Large, well-annotated mammography resources are essential for developing and evaluating artificial intelligence in population screening, particularly when labels include Breast Imaging Reporting and Data System (BI-RADS) categories, breast composition and quadrant-level localisation. Such structure supports both classification and localisation...Read more
2025 06 Oct
Dense breast tissue can hide tumours on mammography and is independently linked to higher breast cancer risk. Digital breast tomosynthesis (DBT) is widely used for screening women with dense breasts, yet debate persists on the value of other supplemental tests. Molecular breast imaging (MBI) uses technetium 99m sestamibi to highlight functionally...Read more
2025 29 Sep
Breast cancer remains the most common cancer in women. While incidence has been rising, mortality has declined, supported by earlier diagnosis through mammography screening. Yet performance varies, with sensitivity reported at 80–98% and falling below 70% in women with dense breast tissue. Double reading can increase detection but is challenged...Read more
2025 20 Jun
Artificial Intelligence (AI) has shown promise in improving the efficiency and accuracy of breast cancer screening. While existing studies highlight population-level benefits, evidence regarding its performance across specific patient subgroups remains limited. The ARIES study—a large-scale, multicentre retrospective analysis of over 306,000 screening...Read more
2025 20 Jun
Artificial Intelligence (AI) has shown promise in improving the efficiency and accuracy of breast cancer screening. While existing studies highlight population-level benefits, evidence regarding its performance across specific patient subgroups remains limited. The ARIES study—a large-scale, multicentre retrospective analysis of over 306,000 screening...Read more
2025 20 Jun
Artificial Intelligence (AI) has shown promise in improving the efficiency and accuracy of breast cancer screening. While existing studies highlight population-level benefits, evidence regarding its performance across specific patient subgroups remains limited. The ARIES study—a large-scale, multicentre retrospective analysis of over 306,000 screening...Read more
2025 09 Jun
Women with dense breast tissue face a higher risk of late-stage breast cancer diagnosis due to the limited sensitivity of standard mammography. In response, supplemental imaging techniques have been developed to improve cancer detection in this population. The Breast screening—Risk Adapted Imaging for Density (BRAID) trial, a UK-based randomised...Read more
2025 17 Apr
RadNet, a leading provider of diagnostic imaging services and digital health solutions, has announced the acquisition of iCAD, a global company renowned for its AI-powered breast health technologies. The transaction, structured as an all-stock deal, aims to accelerate advancements in artificial intelligence for the early detection and diagnosis of...Read more
2025 25 Feb
The NHS has launched an ambitious artificial intelligence trial to enhance breast cancer detection, marking a significant step forward in integrating digital innovation into healthcare. The trial, involving 700,000 women across 30 sites in the UK, aims to assess whether AI can improve early diagnosis, ensuring patients receive timely interventions....Read more
2025 25 Feb
The NHS has launched an ambitious artificial intelligence trial to enhance breast cancer detection, marking a significant step forward in integrating digital innovation into healthcare. The trial, involving 700,000 women across 30 sites in the UK, aims to assess whether AI can improve early diagnosis, ensuring patients receive timely interventions....Read more
2025 09 Jan
Digital breast tomosynthesis (DBT) has demonstrated improved breast cancer detection rates compared to traditional digital mammography (DM). However, cancers can still go undetected during screening, raising concerns about the accuracy and interpretation of results. The Malmö Breast Tomosynthesis Screening Trial (MBTST) investigated the effectiveness...Read more
2025 09 Jan
Digital breast tomosynthesis (DBT) has demonstrated improved breast cancer detection rates compared to traditional digital mammography (DM). However, cancers can still go undetected during screening, raising concerns about the accuracy and interpretation of results. The Malmö Breast Tomosynthesis Screening Trial (MBTST) investigated the effectiveness...Read more
2024 03 Nov
Artificial intelligence (AI) integration in healthcare has shown remarkable potential, particularly in the early detection of diseases such as breast cancer. Timely identification of cancer is crucial for improving survival rates and reducing the intensity of required treatment. A recent study conducted within the BreastScreen Norway programme...Read more
2024 20 Oct
Breast cancer diagnosis and monitoring have long relied on advanced imaging techniques, with magnetic resonance imaging (MRI) playing a critical role. One such technique, diffusion-weighted imaging (DWI), has shown great promise in enhancing breast cancer detection, staging, and monitoring by measuring the diffusion of water molecules in tissues....Read more
2023 30 Nov
New offering provides an all-in-one AI platform optimized for mammography, that seamlessly integrates artificial intelligence (AI) applications from iCAD to aid clinicians in breast cancer detection as well as breast density assessment and notification. GE HealthCare announced the release of a new, all-in-one platform of artificial intelligence...Read more
2023 20 Jun
For the first time, a screening mammography system— United Imaging Healthcare 's uMammo590i—has been installed in the Gjilan Municipality. This milestone achievement brings mammogram screenings to the municipality's family clinic, ensuring primary healthcare access for over ten thousand women in the community. With its advanced design, the...Read more






