ProFound AI® Risk
Revolutionizing Personalized Screening
Now available for 2D and 3D mammography
*ProFound Risk is CE Marked, Health Canada Licensed, and available for investigational use only in U.S.
Risk Assessment Reimagined
ProFound AI® Risk is the world’s first clinical decision support tool that provides an accurate1,2 short-term breast cancer risk estimation that is truly personalized for each woman, based only on her mammogram.
The easy-to-implement solution provides superior insights that empower clinicians to tailor a woman’s breast screening regimen and potentially identify cancers earlier.
ProFound AI Risk uniquely combines a range of risk factors, offering superior performance and accuracy in assessing short-term risk compared to traditional, commonly-used breast cancer risk models.1,2
Breast AI SuiteBrochureRequest a demo
Superior AccuracyUp to 2.4 times more
accurate than traditional
risk models1,2Simplified WorkflowEfficient and easy to implement solution provides a rapid short-term risk estimate based on the mammographic examPersonalized CareImproved model delivers operational efficiency and enhances patient care
Next Level Insights
The latest generation of ProFound AI Risk offers unprecedented insights for clinicians and patients:
- Flexibility to calculate a one, two, or three-year absolute risk and risk category for the woman and compares her risk relative to the average risk for women in her age group (country specific)
- Designed to offer greater accuracy and ethnically inclusive precision screening
- More than 15 country-specific incidence and mortality rates for alignment with the country’s general population
Unrivaled Accuracy and Clinical Performance
ProFound AI Risk offers the highest AUC available for providing a one-year future risk estimation based on a screening mammogram. This advanced solution provides superior insights that empower clinicians to tailor a woman’s breast screening regimen and potentially identify cancers earlier, when they may be more easily treated.
Risk Model Performance1,2
Relative AUC performance for traditional risk models compared to ProFound AI Risk for 2D Mammography and 3D mammography.
Uncertainties are given as the upper and lower 95% confidence intervals.
Recent Clinical Study Results1
In a multi-ethnic study of 154,200 women screened at four U.S. screening sites:
- ProFound AI Risk determined women who were at a higher risk of developing breast cancer, with up to 2.4 times more accuracy than traditional risk models
- Accurately identified the 14% of women with an almost 20-fold higher risk of developing breast cancer than the general population, using U.S. guidelines
- Researchers estimated if the 12% of women at highest risk had been offered supplemental screening, up to 59% of the cancers could have potentially been detected, compared to 24% of the cancers using a traditional lifetime risk model
Risk Stratification Simplified
ProFound AI Risk software offers a practical approach to risk stratification that seamlessly integrates into the breast cancer screening process. All that is needed is a standard full field digital mammogram (FFDM) or combined digital breast tomosynthesis exam (DBT + 2D synthetic or 2D FFDM).
The easy to integrate ProFound AI Risk model offers superior accuracy1,2 and enables clinicians to truly personalize screening in order to find breast cancer early.
Results include the short-term breast cancer risk category [low, general, moderate and high].
Personalized Screening Made Easy
Some women have a higher risk of developing breast cancer based on their geographical location and ancestry. With ProFound AI Risk, patient care has never been more personalized.
Specifically designed to factor in racial and ethnic backgrounds, ProFound AI Risk offers an equitable and inclusive approach to precision screening.3 The algorithm also factors in clinically relevant global screening guidelines and more than 15 country incidence and mortality reference tables, for alignment with that country’s general population.
ProFound AI Risk also includes multiple risk factors found in a screening mammogram:
AgeBreast DensitySubtle Mammographic Features
Ethnically-Inclusive Risk Assessment Matters
- Breast cancer recently surpassed lung cancer as the number 1 diagnosed cancer in the U.S., excluding non-melanoma skin cancers.4
- African American women have an approximately 40% higher risk of dying from breast cancer compared to white women.5
- African American women are disproportionately affected by more aggressive subtypes, such as triple-negative breast cancer6 and inflammatory breast cancer.7
iCAD’s product portfolio offers innovative solutions to support breast cancer detection, measure breast density, assess personalized risk, and provide targeted radiation therapy. Our technologies offer clinically proven benefits to clinicians and patients, and are designed to optimize efficiency, enhance the patient experience, and improve outcomes.
- Aligns with the Institute for Health Care Improvement’s Quadruple Aim optimization of health system performance: Better Outcomes, Lower Costs, Enhanced Patient Experience, Improved Clinical Experience.
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References:
- Eriksson, M et al. A risk model for digital breast tomosynthesis to predict breast cancer and guide clinical care. Science Translational Medicine. 14 (644). 2022 May 11. Accessed via https://www.science.org/doi/10.1126/scitranslmed.abn3971
- Eriksson M, Czene K, Strand F et al. Identification of Women at High Risk of Breast Cancer Who Need Supplemental Screening. Radiology. 2020 Sept 8.
- Available in the U.S. only.
- Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4. PMID: 33538338.
- Richardson LC, Henley SJ, Miller JW, Massetti G, Thomas CC. Patterns and Trends in Age-Specific Black-White Differences in Breast Cancer Incidence and Mortality – United States, 1999–2014. MMWR Morb Mortal Wkly Rep 2016;65:1093–1098. DOI: http://dx.doi.org/10.15585/mmwr.mm6540a1.
- Siddharth S, Sharma D. Racial Disparity and Triple-Negative Breast Cancer in African-American Women: A Multifaceted Affair between Obesity, Biology, and Socioeconomic Determinants. Cancers (Basel). 2018;10(12):514. Published 2018 Dec 14. doi:10.3390/cancers10120514
- American Cancer Society. Inflammatory Breast Cancer. https://www.cancer.org/cancer/breast-cancer/about/types-of-breast-cancer/inflammatory-breast-cancer.html#:~:text=IBC%20tends%20to%20occur%20in,common%20types%20of%20breast%20cancer.
Products
ProFound AI for DBT
ProFound AI Risk
PowerLook Density Assessment
ProFound AI Solutions - EU
ProFound AI Solutions - FR
SecondLook for 2D Mammography
VeraLook Colon Polyp Detection
Resources
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Customer Case Studies
Customer Testimonials
Patient Resources
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Training & Support
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