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.

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.

Genius AI Detection 2.0 with CC-MLO Correlation is an AI-powered software designed to assist radiologists by analyzing digital breast tomosynthesis images to detect and mark suspicious soft tissue densities and calcifications. It provides confidence scores for each detected lesion, helping clinicians interpret breast cancer screening exams more effectively, including correlation between different standard mammographic views for better diagnosis workflow.

ViewFinder Software Version 1.1 by Elaitra Ltd is a specialized software tool designed for clinicians to review digital breast tomosynthesis images. It dynamically matches tissue across different breast views using AI to reduce cognitive load, helping radiologists to compare images more efficiently and accurately during breast cancer screening and diagnosis.

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.

Genius AI Detection 2.0 is a software device that uses deep learning AI models to analyze digital breast tomosynthesis (DBT) images. It identifies and marks suspicious soft tissue densities and calcifications, providing confidence scores to aid radiologists during breast cancer screening. The AI improves detection specificity and reduces false positives, supporting clinicians in interpreting 3D mammography exams efficiently and accurately.

CogNet QmTRIAGE is an AI-powered software tool designed to analyze 2D digital mammograms to prioritize patients with suspicious breast findings. It flags exams suggestive of cancer to help mammography interpreting physicians prioritize their workflow, aiding early detection without replacing full diagnostic evaluation.