FDA Radiology AI Devices

PowerLook Tomo Detection V2 Software by iCAD Inc. is an AI-based computer-assisted detection and diagnosis tool that helps physicians identify suspicious lesions and calcifications in digital breast tomosynthesis images. It provides confidence scores to assist in evaluating findings, improving radiologist accuracy and reducing reading time during breast cancer screening exams.

Transpara is an AI-powered software tool that helps doctors identify suspicious areas in mammograms that might be breast cancer. It highlights these areas, provides scores indicating the likelihood of cancer, and supports physicians in making more accurate diagnoses. This assists in earlier and more reliable detection of breast cancer during 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.

DM-Density is an AI-based software that processes digital mammogram images to automatically calculate breast density, providing numerical values and breast density grades to assist physicians in assessing breast tissue composition. It supports clinical use by delivering standardized breast density information following BI-RADS classifications, integrating with mammography workstations or PACS.

Quantra is a software tool designed to analyze digital mammographic images and estimate breast tissue composition. It categorizes breast density in a way that aligns with BI-RADS breast composition reporting standards to help radiologists assess breast tissue, aiding consistent reporting for breast cancer screening and diagnosis support, though it is not a diagnostic aid itself.

ClearView cCAD is an AI-powered software tool that helps physicians analyze breast ultrasound images by automatically classifying lesion shape and orientation characteristics. It supports better screening and diagnosis by generating reports compliant with ACR BI-RADS standards, aiding radiologists in their assessment without replacing primary diagnostic interpretation.

Volpara Imaging Software is a medical imaging application designed to analyze digital mammography and tomosynthesis images. It generates detailed breast density maps and calculates volumetric breast density, helping healthcare professionals assess breast tissue composition. The software provides numerical breast density values and BI-RADS categories as adjunctive information, supporting the diagnostic process.

Quantra is a software application used with digital breast x-ray images to calculate volumetric and area breast density. It aids radiologists by providing quantitative breast tissue composition data to help in consistent breast density reporting. It does not interpret images directly but supports breast cancer risk assessment and reporting.

QUANTRA is software designed for use with digital mammography systems to estimate volumetric breast density. It calculates the ratio of fibroglandular tissue to total breast volume from mammography images, providing quantitative data to assist radiologists in assessing breast tissue composition. The software acts as an adjunct tool and is not intended as a diagnostic or interpretive aid, helping clinicians better understand breast density which is important for patient care.