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Purple Wave

Breast Suite

AI-powered breast cancer detection, faster interpretation, seamlessly integrated into your IT

An AI-powered, end-to-end suite of modular, interoperable applications that are designed to seamlessly integrate into existing breast cancer diagnostic workflows and technology, significantly improving diagnostic accuracy, workflow efficiency and standardization of care.

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Breast Suite
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Nov 30 - Dec 3, 2025
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Enhanced efficiency and accuracy in breast cancer detection

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Enables more accurate diagnosis1,2 with the use of priors3 and automatic localization of regions of interest and degree of suspicion​​

Provides consistent, automated density classification with a patient-centric, accurate density assessment of 2D or 3D mammograms to support objective diagnostic decisions.

Reveals comorbidities by automatically flagging breast arterial calcifications on screening mammograms.

Identifies high risk of developing breast cancer in 1-2 years, based only on a mammogram calibration, with up to x2.4 more accurate than traditional risk models5,6

Breast Suite
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AI-powered workflow optimization for consistent, efficient diagnosis

Prioritized worklist

Creates efficient workflows, prioritizing cases by suspicion level and processing large volumes of data without.

Timely alerts

Improves turnaround time with rapid image processing that flags high suspicion cases within minute⁷ and enables care teams to be notified for same-day follow-ups.

AI-powered Safeguard review workflow

Improves cancer detection rate with second reviewer workflow, decreasing false negatives and emphasizing likely missed cancers, including hard-to-detect ones 2, 7, 8

Intelligent reporting

Improves clinical consistency through customizable reporting with guideline standardization and automatic pre-population of breast density findings.

Real World Impact

Improve cancer detection rates with second reviewer workflow​

DM (2D)

DM (2D)

9.4% Increased CDR11
DM (2D)

DBT (3D)

21% Increased CDR1
DM (2D)

Breast Suite

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Clinical impact at scale

Delivered with superior accuracy, driven by our algorithm trained on vast clinical data 5, 6

Explore Clinical Evidence

21%

increased cancer detection rate (CDR)1

23%

more cancers detected in women with dense breasts1

20%

more cancers detected in Black/African American women1

Specialist level care

achieved by a group of general radiologists¹⁰

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Real voices.
Real impact.

British Institute of Radiology (BIR) - Annual AI Congress
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Jason R. Sinner M.D.

Medical Director, RadNet/BRMG

“It has made me considerably more efficient due to decreased lag between loading patient studies, in particular as it relates to breast tomography where I can instantly review the current study along with multiple prior exams.”

British Institute of Radiology (BIR) - Annual AI Congress
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Dr. Jacqueline Holt

Medical Director, Women’s Imaging, Delaware Imaging Network, RadNet

“Breast Suite applications help me read smarter and more efficiently. It allows me to sort and prioritize mammograms most likely to have cancer in them and draws my attention to what really matters in each image.”

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Transforming population health with AI-powered diagnostic screening programs

Explore our vision

Could healthcare begin before illness ever shows up? Rather than waiting for patients to experience symptoms, what if care started with prevention, early detection, and access to critical diagnostic tools?

Finding and treating diseases, like cancer, at earlier stages increases survival rates.3 Screening healthy people helps make early detection more possible. By expanding screening for a range of diseases, more people have the chance to stay healthy longer—and this shift has the potential to significantly transform population health.

Population Health Suite of Solutions

Orchestrate and scale high-volume cancer screening and disease assessment programs.

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[1] Louis et al. “Equitable impact of an AI-driven breast cancer screening workflow in real-world US-wide deployment.” Nature Health. Nov 2025. [2] FDA 510(k) clearance K251873. Clinical Performance Testing. [3] Pending 510k clearance [4] CE marked for the EU market. Not yet cleared for use in the US. [5] Eriksson et al. “A risk model for digital breast tomosynthesis to predict breast cancer and guide clinical care.” Science Translational Medicine. May 2022. [6] Eriksson et al. “Identification of Women at High Risk of Breast Cancer Who Need Supplemental Screening.” Radiology. Sep 2020. [7] Rapid image processing flags highly suspicion cases in under 5 minutes when integrated with GE HealthCare’s Senographe Pristina system and using 1 GB bandwidth transmission, and under 15 minutes with HOLOGIC [8] Louis et al. “National Deployment of AI-driven Workflow has Equitable Impact in Breast Cancer Screening in Diverse and Increased Risk Populations.” Nature Health. 2025. [9] Louis et al. “Large-scale deployment of a multistage AI-driven workflow increases detection of deadlier breast cancers.” RSNA Chicago. 2025. [10] McCabe et al. “Multistage AI-Driven Workflow Improves General Radiologist Screening Mammography Performance to the Level of Fellowship-Trained Breast Imagers: Real-world Evidence in >500,000 Patients.” RSNA Chicago. 2025. [11] Lee et al. National Performance Benchmarks for Screening Digital Breast Tomosynthesis: Update from the Breast Cancer Surveillance Consortium. Apr 11 2023 https://doi.org/10.1148/radiol.222499

Disclaimers: Breast Suite comprises multiple applications including ProFound Pro, Breast Density, Safeguard Review, Risk Assessment, BAC and DeepHealth Viewer. DeepHealth Viewer is manufactured by eRAD, Inc. and distributed by DeepHealth, Inc. Any claims made about Breast Suite may reference claims associated with its individual components. Not all products and functionalities are commercially available in all countries.