ProFound AI® Risk

Clinical decision support tool that provides accurate and tailored short-term breast cancer risk estimation.

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Overview

ProFound AI Risk, is the world’s first clinical decision support tool that provides an accurate short-term breast cancer risk estimation that is truly personalized for each woman, based only on her mammogram. 

 Available for both 2D and 3D mammography, it uniquely combines age, breast density and subtle mammographic features, offering superior performance and accuracy in assessing short-term risk compared to traditional, commonly-used breast cancer risk models. ProFound AI Risk complements traditional risk models and is easy for clinicians and medical facilities to adopt, as it only requires the images from a 2D or 3D mammogram, with no questionnaires, portals, or staff required to implement. 

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Features

• Provides physicians and patients with an accurate, short-term absolute breast cancer risk score and risk category (low, general, moderate and high).

• Offers AUC = 0.80 (area under the curve) for providing a one-year future risk estimation based only on a 2D or 3D mammogram. This advanced solution provides insights that empower clinicians to tailor a woman’s breast healthcare follow-up and potentially identify cancers earlier, when they may be more easily treated. 

Benefits

• Easy-to-implement, using only information readily available in a 2D or 3D mammogram. 
• Offers flexibility to provide a one, two or three-year risk estimation. 
• Greater accuracy compared to previous versions and traditionally used risk models. (1)
• Incidence and mortality reference tables from more than 15 countries.

Image examples

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To find out more about iCAD’s solutions, or the 100+ other applications on the Blackford Platform, book a discovery call with our team.

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We’d welcome the opportunity to learn more about your AI needs and to explain how partnering with Blackford can drive efficiency and provide ongoing value.

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(1) ProFound AI Risk for DBT 1-year AUC of 0.80 (95% CI: 0.76, 0.83); ProFound AI Risk for 2D Mammography 2-year AUC of 0.73 (95% CI: 0.71, 0.74).

Eriksson M, Destounis S, Czene K, Zeiberg A, Day R, Conant EF, et al. A risk model for digital breast tomosynthesis to predict breast cancer and guide clinical care. Science Translational Medicine. 2022 May 11;14(644).
 
(2) Eriksson M, Czene K, Strand F, et al. Identification of Women at High Risk of Breast Cancer Who Need Supplemental Screening. Radiology. 2020, 297(2): 327-333. Epub Sep 8.