FDA Radiology AI Devices

Genius AI Detection 2.0 is a software tool that uses artificial intelligence and deep learning to help radiologists detect and evaluate potential breast abnormalities in 3D mammography (digital breast tomosynthesis) images. It marks suspicious soft tissue densities and calcifications, provides confidence scores, and supports radiologists in their interpretation during the exam reading, enhancing breast cancer screening accuracy and efficiency.

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.

Saige-Dx (3.1.0) is an AI-based software designed to assist radiologists by analyzing digital breast tomosynthesis mammograms to detect suspicious soft tissue lesions and calcifications indicative of cancer. It evaluates 3D and 2D mammogram images, assigning suspicion levels for findings and cases, and produces reports to support concurrent reading. This helps clinicians improve detection accuracy and reduce reading time in breast cancer screening for women aged 35 and older.

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 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.

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.