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.

Allix5 is a software tool that uses medical imaging data to help predict a patient's future risk of developing breast cancer. This helps clinicians identify patients who may need closer monitoring or preventive care.

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.

Koios DS is an artificial intelligence software tool that helps trained physicians analyze ultrasound images of breast lesions and thyroid nodules. It processes user-selected regions within the images to provide AI-derived risk assessments for cancer, and generates descriptors following established medical lexicons to improve diagnostic accuracy and reduce variability among physicians. The software also functions as an image viewer and supports image annotation and reporting, helping clinicians make more informed decisions in managing patients with suspicious lesions.

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.

TumorSight Viz is a cloud-based AI software that helps clinicians visualize and analyze breast MRI images in patients with early-stage or locally advanced breast cancer. It processes dynamic contrast-enhanced MRI data to provide 3D renderings, measurements, and segmentations of tumors, supporting more informed clinical evaluations and treatment planning.

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.