FDA Radiology AI Devices

MammoScreen BD is an AI-powered software that helps radiologists evaluate breast tissue density in mammograms and digital breast tomosynthesis. It provides breast density categories based on established ACR BI-RADS standards. The tool offers supplementary information to aid radiologists in assessing breast density, supporting better screening decisions for women aged 40 and older. It processes DICOM images and integrates with clinical systems to assist interpretation without replacing physician judgment.

Saige-Density is a medical software that uses AI deep learning techniques to analyze digital mammograms, producing breast density categories based on ACR BI-RADS guidelines. It helps radiologists assess breast tissue composition by providing adjunctive information, improving breast cancer risk assessment and screening interpretation.

ClariSIGMAM is a software tool designed to automatically analyze digital mammograms to estimate breast density by calculating the ratio of fibroglandular tissue to the total breast area. It categorizes breast density using BI-RADS groups to assist radiologists in assessing breast tissue composition, providing adjunctive information to support interpretation but is not a diagnostic aid.

Volpara Imaging Software is an AI-driven tool that processes raw digital mammography and tomosynthesis images to generate detailed breast density maps and quantitative metrics. It helps healthcare professionals assess breast composition by providing volumetric measurements and BI-RADS density categories as adjunctive information in breast cancer screening and assessment.

PowerLook Density Assessment V4.0 is a software tool that analyzes synthetic 2D images from digital breast tomosynthesis exams to provide breast density categories using the ACR BI-RADS 5th Edition. This helps radiologists assess breast tissue composition as an adjunctive aid, improving breast cancer screening processes.

Visage Breast Density is a software application designed to analyze mammography images and classify breast density into categories according to the ACR BI-RADS Atlas 5th Edition. It uses a convolutional neural network to assist radiologists by providing adjunctive information about breast tissue composition, making breast density assessment more efficient.

WRDensity by Whiterabbit.ai is a software tool that uses deep learning to analyze digital mammography images and automatically assess breast tissue composition according to the ACR BI-RADS 5th Edition breast density categories. It helps radiologists by providing breast density categorization and probability scores, which can improve breast cancer risk assessment and patient management. The software works with various mammography systems and outputs results to PACS and RIS for clinician review.

Densitas densityai is a software application that analyzes digital mammography and breast tomosynthesis images to automatically assess breast tissue density. It provides a Breast Density Grade according to the American College of Radiology's BI-RADS 5th Edition to assist physicians in evaluating breast composition. This adjunctive tool helps interpret breast density consistently and efficiently, enhancing clinical decision-making in breast cancer screening.

Volpara Imaging Software is a tool designed to analyze raw digital mammography and tomosynthesis images to calculate volumetric breast density. It provides quantitative measurements and density maps to assist healthcare professionals in evaluating breast tissue composition. The software operates on a Windows server outside the patient environment and supports clinical decision-making by providing adjunctive information on breast density, aiding in breast cancer screening assessments.

DenSeeMammo is a software tool designed to assist radiologists by automatically estimating breast density from digital mammography images. It analyzes 2D mammograms and categorizes breast density according to the BI-RADS 5th Edition, providing additional information to aid breast cancer risk assessment. The final breast density assessment remains the responsibility of the qualified physician. This helps clinicians make consistent and informed evaluations of breast density, potentially improving screening and diagnosis.