FDA Radiology AI Devices

MammoScreen® is an AI-based software designed to assist radiologists in detecting and diagnosing lesions that may be indicative of breast cancer from mammography images. It helps improve accuracy and efficiency by highlighting suspicious areas, supporting earlier and more reliable cancer detection.

Transpara (2.1.0) is an AI software tool designed to assist doctors during screening mammography and digital breast tomosynthesis exams. It analyzes breast images to detect suspicious calcifications and soft tissue lesions and provides scores indicating the likelihood of cancer. This helps clinicians improve detection accuracy and workflow, but decisions should not be made solely on its output.

Saige-Dx by DeepHealth, Inc is an AI-powered software that assists radiologists by automatically analyzing DBT mammograms and associated 2D images to detect potential soft tissue lesions and calcifications that might indicate breast cancer. It provides suspicion levels for findings and the entire case to support physicians during screening mammogram interpretation, improving diagnostic accuracy and efficiency.

ProFound Detection V4.0 is an AI-powered software designed to assist radiologists by detecting suspicious soft tissue densities and calcifications in 3D digital breast tomosynthesis (DBT) images. It helps identify potential malignant lesions by marking findings and providing confidence scores, thus supporting earlier and more accurate breast cancer detection during image interpretation.

Lunit INSIGHT DBT v1.1 is an AI-powered software designed to assist physicians in detecting and characterizing suspicious breast lesions in digital breast tomosynthesis exams. It marks regions of potential cancer with abnormality scores to aid diagnosis, improving clinical workflow for breast cancer screening in women.

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.

MammoScreen 3 is an artificial intelligence software tool designed to assist physicians in interpreting screening mammograms from digital mammography and digital breast tomosynthesis systems. It provides graphical marks indicating suspicious soft-tissue lesions or calcifications, along with a suspicion score and lesion characterization, helping radiologists in their diagnosis and reporting. The software is intended as an aid to, but not a replacement for, the physician's clinical judgment.

VinDr-Mammo is a software tool designed to assist radiologists in prioritizing mammogram exams by flagging those that may contain suspicious findings. It analyzes 2D digital mammograms using artificial intelligence to identify potentially concerning cases and alerts radiologists, enabling more efficient workflow and faster patient care. It does not replace the physician's final diagnosis.

Transpara Density 1.0.0 is an AI-powered software designed to assist healthcare professionals in assessing breast tissue composition from digital mammography and tomosynthesis images. It automatically calculates volumetric breast density, breast volume, and categorizes breast density according to ACR BI-RADS 5th Edition. This helps radiologists make informed decisions about breast cancer screening and diagnosis.

Lunit INSIGHT DBT is an AI-powered software designed to assist physicians in detecting and characterizing suspicious lesions for breast cancer in digital breast tomosynthesis (DBT) images. It analyzes DBT scans to identify and highlight regions of soft tissue lesions and calcifications with scores indicating malignancy likelihood, thereby supporting better screening and diagnosis of breast cancer in women.