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Recognized in the Harvard Business Review as an innovative A.I. solution for supporting improved clinical outcomes in breast cancer screening.
Image showing breast density percentage and ACR BIRADS 5th edition category C

Align with ACR BI-RADS® Atlas breast density scales

densitas densityai uniquely uses two distinct deep learning models that decouple the breast density assessment for quantitative percent mammographic density (0% – 100%) and qualitative descriptive category (A, B, C, D) scales in alignment with both the ACR BIRADS® 4th Ed. and BIRADS® 5th Ed. density scales. densitas densityai specifically accounts for the presence of localized areas of dense tissue, consistent with the ACR guidance to radiologists visually assessing breast density as rendered in mammograms.

Seamless Integration in Reporting Workflows

Seamless Integration in Reporting Workflows

densitas densityai results are deeply integrated into existing reporting and PACS workflows to boost efficiency and facilitate retrospective analyses.

Eliminate Subjectivity and Lack of Reproducibility

Eliminate Subjectivity and Lack of Reproducibility

densitas densityai breast density assessments eliminate the subjectivity and lack of reliability associated with visual assessment, establishing standardization across entire health systems.

Compliance with Federal and Regional Breast Density Notification Laws

Compliance with Federal and Regional Breast Density Notification Laws

densitas densityai supports compliance with federal and regional breast density notification laws that encourage conversations between women and their physicians about additional screening.

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