Breast cancer affects more than 2.3 million women every year, making it one of the most common cancers worldwide.
According to the WHO, early detection is the strongest predictor of survival. Yet many screening systems still struggle with complexity, delays, and high volume.
DeepHealth, a leader in AI-powered health informatics, has now launched the DeepHealth Breast Suite. A comprehensive AI platform designed to support end-to-end breast cancer detection.
Read on to learn how this new suite works.
What is the DeepHealth Breast Suite?
The DeepHealth Breast Suite is a complete AI system designed to support every step of breast cancer screening.
Instead of using separate tools for detection, breast density, risk assessment, and reporting, the suite brings everything into one connected platform. This helps radiologists work faster, stay more consistent, and catch cancers earlier.
“The launch of Breast Suite marks a pivotal step toward a new, AI-powered standard of care in breast cancer screening and diagnostic pathways.”
-Kees Wesdorp, President and CEO of RadNet’s Digital Health Division, DeepHealth.
The suite has four main parts:
#1 AI cancer detection
The system automatically highlights suspicious areas on a mammogram and gives a score showing how concerning the finding might be. This helps radiologists focus on regions that need closer attention.
#2 Automated density assessment
Breast density affects how well cancers can be seen. The Breast Suite gives a clear, objective density reading so that radiologists do not have to rely on guesswork.
#3 AI risk assessment
Using only a mammogram, the suite estimates a woman’s short-term risk of developing breast cancer in the next one to two years. This helps identify women who may need closer monitoring.
#4 In-development BAC assessment
A future feature will automatically detect breast arterial calcifications (BAC), which can give clues about cardiovascular disease risk.
These capabilities have been validated across diverse populations. Research published in Nature Health demonstrated that the suite led to23% more cancers detected in women with dense breasts and 20% more cancers detected in Black, non-Hispanic women.
How the Breast Suite improves detection and workflow
DeepHealth integrates the suite seamlessly with existing systems through its cloud-native DeepHealth OS. Key workflow features include:
Prioritized worklist
The worklist automatically ranks studies based on suspicion level. This helps radiologists focus on the most urgent cases first and reduces turnaround times.
Cloud first multi-modality viewer
This viewer allows radiologists to review mammograms, ultrasound, and MRI from any location. It supports collaboration and ensures a consistent viewing experience across teams.
AI-powered safeguard review
This workflow acts as a second reviewer to reduce false negatives. It flags likely missed cancers, including subtle findings that are often difficult to detect.
Intelligent reporting
The reporting system improves consistency with templates, guideline alignment, and automatic pre-population of breast density findings. This reduces reporting time and increases accuracy.
About DeepHealth
DeepHealth was founded in 2015 by Dr. Gregory Sorensen, Dr. Bill Lotter, and Dr. David Cox and acquired in 2020 by RadNet, Inc., one of the largest diagnostic imaging providers in the United States.
As RadNet’s AI and machine learning arm, DeepHealth builds advanced AI solutions that elevate accuracy, efficiency, and clinical confidence across the imaging workflow.
The company develops AI-powered health informatics tools across breast, chest, prostate, neuro, and thyroid health, and integrates expertise from several leading brands, including Aidence, Quantib, eRAD, Kheiron Medical, SeeMode, iCAD, and others.
Today, DeepHealth supports over 2,300 healthcare provider locations worldwide, managing 24 million imaging studies per year and enabling over 10 million AI-powered diagnoses annually.
At its core, DeepHealth aims to “push the boundaries of what’s possible in healthcare by leveraging advanced AI to enable operational efficiency, clinical confidence, and better delivery of care.”
Looking ahead
The DeepHealth Breast Suite is a strong step toward making breast cancer screening faster, clearer and more reliable.
With better tools and better information in one place, it can help more women get answers earlier. As AI becomes a bigger part of healthcare, solutions like this can make screening smoother for care teams and more reassuring for patients.
The future looks hopeful, and technology like the Breast Suite will play an important role in it.
-By Rinkle Dudhani and the AHT Team
