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Leveraging densitas densityai breast density solutions supports the identification of higher-risk women who may benefit from supplemental screening with more sensitive imaging modalities.
Densitas densityai breast density assessments eliminate the subjectivity and lack of reliability associated with visual assessment, establishing standardization across entire health systems. Density results have been rigorously validated for face-validity and have demonstrated almost perfect agreement with expert radiologist consensus.
Densitas densityai uses routinely archived ‘for presentation’ images with results integrated into existing reporting and PACS workflows to boost efficiency and facilitate retrospective analyses.
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 the ACR BI-RADS® 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.
Visual breast density assessments are highly variable – this can be confusing and stressful for patients. Densitas densityai provides reliable and reproducible breast density assessments in compliance with breast density notification guidance.
