cmTriage

by CureMetrix  · Based in United States →Triage. Sort. Prioritize.
Oncology Radiology

Contact for pricing
Regulatory Status Disclosed

Overview

CureMetrix cmTriage is an FDA-cleared artificial intelligence (AI) tool designed for mammography workflow optimization. It is intended for radiologists in various care settings, including independent radiology practices, hospital systems, and large imaging centers. The software integrates into existing Picture Archiving and Communication Systems (PACS) workflows.

cmTriage functions by analyzing 2D full-field digital mammograms (FFDM) and flagging cases that suggest the presence of suspicious findings. This allows radiologists to prioritize their mammogram worklist, moving potentially critical cases to the top for immediate review. The system provides a passive notification triage code to the radiologist’s worklist.

Notable capabilities include its ability to work across all breast densities and with both masses and calcifications. It is designed to help radiologists organize their worklist and focus on cases requiring more immediate attention. The software is delivered as a cloud-based, Software-as-a-Service (SaaS) solution.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-based triage for mammography worklists
  • Prioritizes suspicious cases for immediate attention
  • Optimizes radiologist workflow and efficiency
  • Compatible with most screening mammography equipment
  • Cloud-based deployment with no added systems to install
  • DICOM compliant for seamless integration
  • Works across all breast densities
  • Identifies both mass and calcifications
  • Potential to help radiologists read mammograms up to 30-40% faster
  • High accuracy with an Area Under the Curve (AUC) of 0.95

Use Cases

  • Prioritizing mammography worklists for radiologists
  • Flagging suspicious cases that may need immediate attention
  • Optimizing clinical protocols and maximizing clinic resource utilization
  • Strategically distributing mammograms to multiple readers or specialists
  • Expediting callback reports and patient workups
  • Improving breast cancer detection rates

What Physicians Need to Know

Key Capabilities
First FDA-cleared AI-based triage software for 2D mammography, it provides a notification triage code to the radiologist's worklist. It sorts and prioritizes cases based on suspicious regions, working across all breast densities, and detecting both masses and calcifications.
Clinical Utility
Optimizes workflow by enabling radiologists to prioritize suspicious cases, potentially leading to up to 30-40% faster reading times for low-suspicion mammograms and expediting recall of suspicious cases. It can also improve turnaround times for callback reports and potentially catch more cancers.
Integration Options
Cloud-based and designed for seamless integration with existing PACS systems, acting as a PACS listener. It processes DICOM images, returning a DICOM Structured Report (SR) with a triage code to update the worklist. Available on the Nuance AI Marketplace and distributed by Novarad.
Compliance Status
FDA-cleared in the U.S. and ANVISA-cleared in Brazil. It is DICOM and HIPAA compliant, ensuring no Protected Health Information (PHI) leaves the hospital.
Pricing Model
Specific pricing details are not publicly disclosed; however, CureMetrix has offered promotional periods with no-cost implementation and service.
User Experience
Described as easy to implement, it allows radiologists to customize and sort their worklist. Users have reported an improved experience with fewer, more meaningful flags, enhancing ease of reading.
Support Quality
While specific details are limited, the company emphasizes technical and user support in its guidance for selecting AI partners, and has offered periods of no-cost service.
Implementation Complexity
Considered easy to implement clinically due to its cloud-based nature, requiring no additional system installations or clicks. It integrates with existing PACS by processing de-identified images in the cloud.
Evidence Base
Supported by retrospective, blinded, multi-center studies demonstrating an AUC of 0.951. Studies indicate potential for faster reading times and improved turnaround for callback reports. Research has been featured in the Journal of the American College of Radiology and Journal of Digital Imaging.
Physician Tip

cmTriage can significantly enhance workflow efficiency by intelligently prioritizing mammogram cases, allowing for immediate focus on potentially suspicious findings. This can lead to faster interpretation of routine cases and quicker attention to critical ones, potentially reducing patient anxiety and improving overall care timelines. Consider customizing the triage sensitivity to align with your practice's specific protocols and radiologist preferences. The tool's ability to work across all breast densities and detect various lesion types makes it a versatile addition to breast imaging.

cmTriage is designed for straightforward integration as a cloud-based solution that communicates with existing PACS via DICOM Structured Reports. This minimizes IT overhead and avoids the need for new hardware. Its availability on platforms like the Nuance AI Marketplace and through distributors like Novarad further simplifies deployment and accessibility within established radiology ecosystems. Ensure your PACS can display and sort based on the DICOM triage codes for optimal workflow integration.

Details

Category Oncology AI, Radiology & Imaging AI
Pricing Contact for pricing
  • Historically, costs were estimated in the range of $1 to $5 per mammogram; Limited-time offers for no-cost implementation and service have been available
DeploymentCloud-based
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

cmTriage received FDA clearance (K183285) on March 8, 2019, as a radiological computer-assisted triage and notification software device for 2D FFDM screening mammograms. It functions as a passive notification, prioritization-only, parallel-workflow tool.

Integrations
EHR Not specified
Specialties Oncology, Radiology

What the Web Says

cmTriage is an FDA-cleared AI-based triage software for mammography that helps radiologists prioritize suspicious cases. It aims to optimize workflow, reduce reading times, and improve breast cancer detection rates. Studies suggest it can significantly enhance diagnostic accuracy and efficiency for radiologists.

Overall: Positive

Strengths

  • Workflow optimization by prioritizing suspicious mammograms.
  • Reduces mammography reading time by up to 30-40%.
  • Increases cancer detection rates by up to 27% without increasing false positives.
  • Reduces false positives by up to 69% compared to traditional CAD.
  • Improves diagnostic accuracy (sensitivity and specificity) for radiologists.
  • Can help manage backlogs of mammogram screenings.

Limitations

  • No specific cons were found in the provided search results from physicians, healthcare IT, tech reviewers, Reddit, G2, or Capterra.
  • General concerns about AI in radiology, such as the need for further clinical validation, were mentioned in a Reddit discussion about AI in breast cancer detection, but not specifically about cmTriage.

Based on reviews from: The Silicon Review, CureMetrix (Official Website/Publications), EIN News/EIN Presswire, AuntMinnie, ICE Magazine, Reddit, G2, Capterra

Last updated: 2026-07-18

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Press & Coverage

PR Newswire
Novarad Partners with CureMetrix to Advance AI-Driven Mammography
Novarad announced a partnership with CureMetrix to integrate CureMetrix's AI-driven women's health suite, including cmTriage, into Novarad's imaging tools for national distribution in the U.S. This collaboration aims to streamline workflow, reduce false positives, and enhance early breast cancer diagnosis.
2021-11
EIN Presswire
New Research Shows CureMetrix AI More Accurately Flags Anomalies in Mammograms and Improves Turnaround Time
New research indicates that CureMetrix AI, including cmTriage, can significantly improve mammogram turnaround times and more accurately flag anomalies. CmTriage is highlighted as the first FDA-cleared AI-based triage solution for mammography in the U.S., helping radiologists prioritize suspicious cases.
2021-10
EIN Presswire
CureMetrix AI-Based Triage Software for Mammography Receives ANVISA Approval in Brazil
CureMetrix announced that its cmTriage AI-based triage software for mammography has received ANVISA approval in Brazil. This approval allows CureMetrix to market cmTriage to radiology practices in Brazil, enabling them to prioritize mammogram worklists based on suspicious cases.
2021-01
AuntMinnie
CureMetrix adds cmTriage to Nuance AI Marketplace
CureMetrix's cmTriage software, designed for mammography triage, became available on the Nuance AI Marketplace.
2020-05
Applied Radiology
Eye on AI: The Potential and Reality of AI in Clinical Application
This article discusses the role of AI in clinical applications, featuring CureMetrix's FDA-cleared cmTriage for triaging mammography studies. CmTriage helps radiologists prioritize suspicious cases, potentially leading to faster reading times.
2020-03
San Diego Union-Tribune
CureMetrix gets FDA clearance for mammogram-screening system
CureMetrix received FDA clearance for its cmTriage software, which screens mammograms up to 40 percent faster than traditional methods by flagging suspect mammograms for closer review.
2019-03
Journal of Breast Imaging
Multicenter, Multivendor Validation of an FDA-approved Algorithm for Mammography Triage
This peer-reviewed study validated the performance of the cmTriage AI algorithm for mammography triage across different breast densities and lesion types, demonstrating an AUC of 0.95 for case identification.
2022-09
FDA
K183285 - 510(k) Premarket Notification
This regulatory document details the FDA 510(k) clearance for CureMetrix's cmTriage, a radiological computer-assisted triage and notification software device for 2D FFDM screening mammograms.
2019-03

Videos

Product demos, reviews, and walkthroughs for cmTriage.

View all on YouTube

Frequently Asked Questions

cmTriage integrates as a workflow optimization tool that prioritizes a radiologist's mammography worklist by flagging suspicious cases based on an underlying AI algorithm. This allows radiologists to sort and customize their worklist, focusing on cases that may need immediate attention or assigning them to specialists.
Radiologists using cmTriage can experience benefits such as potentially faster reading times for mammograms, improved workflow efficiency by prioritizing suspicious cases, and the potential to increase cancer detection rates. It acts as a 'second pair of eyes,' helping to focus attention on critical cases and potentially reducing false positives.
Yes, cmTriage is both DICOM and HIPAA compliant. The software is designed so that no Protected Health Information (PHI) ever leaves the hospital, ensuring patient data privacy and security.
Yes, cmTriage has received FDA clearance in the U.S. as an AI-based triage software solution for mammography. It is intended as a notification-only, parallel workflow tool to support standard of care image interpretation.
While cmTriage is a triage tool, other mammography screening alternatives or complementary tools include 3D mammography (tomosynthesis), breast ultrasound, MRI with contrast, molecular breast imaging (MBI), and contrast-enhanced mammography (CEM). Traditional CAD (Computer-Aided Detection) software also exists, though AI-based CAD like CureMetrix's cmAssist offers advancements over older systems.
While specific pricing models can vary, reports indicate that the cost for cmTriage is expected to be in the range of $1 to $5 per mammogram. CureMetrix has also offered limited-time promotions including no-cost implementation and service for initial periods.
cmTriage is limited to the categorization of exams and does not provide diagnostic information beyond triage and prioritization; it should not be used in lieu of full patient evaluation. Radiologists remain responsible for reviewing each exam on a diagnostic viewer according to the current standard of care.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18

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