Saige-Density (2.5.0)
Overview
Saige-Density (2.5.0) by DeepHealth is a Software as a Medical Device (SaMD) designed to automate the assessment of breast tissue composition. Developed for interpreting radiologists and breast imaging specialists, the tool assists in evaluating mammography exams within clinical and screening environments.
The software integrates directly into existing radiology workflows by processing DICOM files from compatible full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT) systems. It operates in the background, analyzing 2D mammogram images (including synthetic 2D views) using deep learning algorithms. Rather than utilizing a standalone graphical user interface, Saige-Density outputs its findings directly to the PACS or mammography viewing workstation.
Notable capabilities include:
- Automatic generation of a study-level breast density category aligned with the ACR BI-RADS Atlas 5th Edition (categories A through D).
- Standardized output delivery via two DICOM objects: a Structured Report (SR) containing the case-level density category and a Secondary Capture (SC) summary report.
- Compatibility with leading enterprise imaging viewers, enabling density scores to display directly within CAD headers or image overlays.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automated breast density categorization (ACR BI-RADS classification)
- Aids interpreting physicians in breast tissue assessment
- Reduces subjectivity and variability in density assessments
- Adjunctive AI software (not a diagnostic aid)
- Compatible with FFDM and DBT systems
- Trained on a diverse database of mammography images
- Part of DeepHealth's Breast Suite for enhanced workflow
- Integrates into existing breast cancer diagnostic workflows
- Provides consistent, automated density classification
- Outputs DICOM Structured Report (SR) and Secondary Capture (SC) objects
Use Cases
- Assessing breast density during mammography exams
- Supporting radiologists in accurate and consistent breast density determinations
- Facilitating earlier identification of breast cancer through improved density assessment
- Aiding compliance with national standards for breast density notification
What Physicians Need to Know
Saige-Density is an adjunctive tool designed to assist in breast density assessment, not replace a physician's judgment. It can help standardize breast density reporting, which is increasingly important due to state and upcoming national regulations requiring breast density notification. While the tool provides an automated ACR BI-RADS breast density category, the final interpretation and patient management decisions remain with the qualified interpreting physician.
Saige-Density is compatible with full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT) systems. It generates DICOM Structured Reports and Secondary Capture objects, which can be integrated into existing PACS systems for viewing and reporting.
Details
| Category | Oncology AI, Radiology & Imaging AI |
| Pricing | Unknown |
| API Available | Yes |
| Data Export | Unknown |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status | Cleared AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology, Radiology |
What the Web Says
Saige-Density (2.5.0) is an AI-powered software developed by DeepHealth, a subsidiary of RadNet, designed to assist radiologists in assessing breast density from mammograms. It automatically generates an ACR BI-RADS breast density category, aiming to reduce subjectivity and improve consistency in determinations. The software is intended as an adjunct tool to aid interpreting physicians and not to replace their own review of a mammogram.
Overall: PositiveStrengths
- Assists radiologists in making accurate and consistent breast density determinations.
- Reduces subjectivity inherent in visual analysis of breast density.
- Can play an important role in the earlier identification of cancer.
- Trained on a diverse database of images from various geographic locations and racial backgrounds.
- Improved performance for radiologists using AI in detecting early cancers and avoiding false alarms.
- Designed to fit in parallel to the standard-of-care workflow.
Limitations
- It is an adjunct tool and not intended to replace a physician's own review of a mammogram.
- Decisions should not be made solely based on analysis by Saige-Density.
- Independent proof of benefit is thin, as the main reader study came from the vendor's own employees.
- Clearance is based on retrospective, standalone data, and real-world impact on clinical workflow and diagnostic accuracy needs to be monitored.
Based on reviews from: mdedge.com, vercel.app, g2.com, deephealth.com, fda.gov, nih.gov, healthaidb.com, radnet.com, diagnosticimaging.com, auntminnie.com, healthcaredive.com, reddit.com, medaiverdict.com
Last updated: 2026-10-29
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