An FDA-cleared AI software tool that analyzes standard screening mammograms (FFDM and DBT) to detect and localize breast arterial calcifications (BAC), an under-reported incidental finding linked to cardiovascular risk. It is intended for use by radiologists interpreting screening mammograms, alongside their standard breast cancer screening workflow.

iCAD (now part of DeepHealth/RadNet) develops FDA-cleared AI software for breast cancer screening, offering AI-assisted cancer detection (ProFound Detection/ProFound AI) and breast density assessment (PowerLook Density Assessment) for digital and tomosynthesis mammography, plus an investigational AI-based breast cancer risk model; it's aimed at radiologists and breast-imaging centers reading screening/diagnostic mammograms.

Lunit INSIGHT MMG analyzes standard 2D mammography images to identify suspicious lesions such as masses, calcifications, asymmetries, and architectural distortions. It assigns an "Abnormality Score" (a percentage probability of malignancy) to each case and generates visual heatmaps that pinpoint the exact location of suspicious areas. The system functions primarily as a "second reader," allowing radiologists to review the case unaided first, then toggle the AI overlay to ensure no subtle findings were missed before finalizing the report.