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.