Saige Breast

Be more confident in your reading decisions.

It is difficult to find all breast cancers before they evolve into later stage cancers. Looking for that needle in the haystack day in and day out can be exhausting and mentally taxing.

The Saige Breast solution is AI-powered clinical imaging support that helps you read faster and more confidently, knowing the power of AI is there to help make the right call.

Let FDA-cleared Saige AI help improve your performance, enhance your productivity, and assist your workflow.

Explore the capabilities of Saige Breast

Saige Dx Diagnostic Aid

Detect cancers.

AI-powered clinical imaging support for breast cancer diagnosis.

Saige Q Mammography Triage

Prioritize cases quickly.

AI-powered worklist support for mammography traige.

Saige Density

Categorize quickly and consistently.

AI-powered assessment support for breast density.


Saige Dx
Diagnostic Aid

Detect cancers. Breast cancer screening saves lives, but radiologists are overloaded.

Saige Dx Breast Diagnostic Aid is AI-powered clinical imaging support that helps you find cancer more efficiently and with greater accuracy. By drawing the radiologist’s attention quickly to suspicious lesions, the AI helps to potentially decrease recalls. It provides powerful diagnostic assistance.

Saige Dx is designed with the radiologist in mind. It produces intuitive and actionable results that fit efficiently in the radiologist’s workflow. Saige Dx assigns a Suspicion Level to each detected finding and to the entire case. The Suspicion Level indicates the strength of suspicion of the presence of cancer, ranging from Minimal (MIN), to Low (LO), Intermediate (INT), and High (HI).

Clinical features

Finding suspicion level

The Finding Suspicion Level represents the strength of suspicion that a given region of interest (outlined by a bounding box) is malignant. Depending on the case, there may be no findings or there may be multiple. Each finding is assigned its own Suspicion Level.

Case suspicion level

The Case Suspicion Level indicates the strength of suspicion that the overall case contains at least one malignant finding. The Saige Dx algorithm combines information from all processed images and findings into a single Suspicion Level.

Make decisions confidently with the support of Saige Assure. Paired with Saige Dx, it provides an AI-driven workflow for additional review of the most suspicious exams to ensure top screening performance.


Saige Q Breast
Mammography Triage

Prioritize suspicious exams quickly and efficiently. Address the most pressing exams first while keeping up with the growing volume of mammograms in your practice.

Saige Q Breast Mammography Triage is AI-powered worklist support that adds actionable information to organize your case load.

It identifies suspicious cases automatically, flags them on your worklist, and displays preview images.


Saige Density
Breast Assessment

Categorize quickly and consistently. Assessing breast density consistently across all of your screening mammograms can be challenging, especially when it could lead to additional imaging for the patient.

Saige Density Breast Assessment is AI-powered assessment support for breast density. It automatically generates an initial ACR BI-RADS® 5th Edition breast density category to help radiologists evaluate fibroglandular tissue.

Saige Density Breast Assessment’s performance is consistently accurate across a wide range of races, ethnicities, ages, breast densities, FFDM and DBT modalities, screening and diagnostic exam types, and manufacturers including Hologic and GE.

Clinical features

Indicator bar.

Radiologists are able to view the outputted density category on their mammography viewing workstation.

Saige Density produces an indicator bar that displays the ranking of the exam within the specific density category. The indicator bar helps radiologists visualize where the exam falls within the outputted density category.

Density category.

The density category can be displayed as an overlay on the original images.

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Foundational informatics to orchestrate workflow.


Operational efficiency with AI.


Clinical AI-powered tools.

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  • Scientific Publication

    Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach

    William Lotter, Abdul Rahman Diab, Bryan Haslam, Jiye G. Kim, Giorgia Grisot, Eric Wu, Kevin Wu, Jorge Onieva Onieva, Jerrold L. Boxerman, Meiyun Wang, Mack Bandler, Gopal Vijayaraghavan, A. Gregory Sorensen

    NATURE MEDICINE January 11, 2021

  • Conference Presentation

    Real world evidence supports robustness of AI categories for screening mammography

    Bryan Haslam, PhD


  • Conference Presentation

    Mammography AI in 147 Clinics Results in Increased Cancer Detection Rate

    Leeann Louis, PhD


  • Conference Presentation

    Radiologists using categorical AI for screening mammography improve more than double reading alone

    Hyunkwang Lee, PhD


  • Conference Presentation

    Categorical artificial intelligence helps general radiologists and breast imaging specialists improve cancer detection performance on DBT mammograms for women of all races

    Jiye G. Kim, PhD