Enhanced Breast Cancer Detection

JSON twin: https://www.healthaidb.com/software/enhanced-breast-cancer-detection.json

Company Name

RadNet

Product URL

https://www.radnet.com/imaging-institute/artificial-intelligence-breast/

Company URL

https://www.radnet.com

Categories

• diagnostic Support
• clinical Care
• patient Facing
• Diagnostic
• Clinical

Summary

Enhanced Breast Cancer Detection (EBCD) is an AI-powered mammography service developed by RadNet to improve breast cancer detection accuracy during annual screenings.

Description

EBCD integrates Saige-Dx™, an FDA-cleared AI technology by DeepHealth, to analyze mammograms, identify suspicious lesions, and assign suspicion levels. It also offers an AI-driven review ('Accord') for certain findings, personalized lifetime risk assessments, and a dedicated support line for patient inquiries. Initially launched in New York and New Jersey, EBCD has expanded to Florida and is available at select Walmart Supercenters through the MammogramNow program. The service is designed to enhance detection capabilities and overall quality of breast cancer screenings.

Api Available

unknown

Certifications

• FDA 510(k) clearance
• CE/MDR

Company Founding

1981

Company Offices

• United States

Compliance

• HIPAA
• FDA 510(k) clearance

Customers

• Karmanos Cancer Institute
• McLaren Health Care
• Perelman School of Medicine at the University of Pennsylvania
• Royal Surrey County Hospital
• Northwestern University
• Cancer Research UK Imperial Centre
• Sarasota Memorial Health Care System
• Geisinger Health System
• Hackensack Meridian Health
• University of California, San Francisco
• Houston Methodist Hospital
• University of Pennsylvania Health System
• University of California, Los Angeles
• University of California, San Diego
• University of California, San Francisco Health System
• University of California, Irvine
• University of California, Davis
• University of California, Berkeley
• University of California, Santa Barbara
• University of California, Santa Cruz
• University of California, Riverside
• University of California, Merced
• University of California, San Diego Health System
• University of California, San Francisco Medical Center
• University of California, Los Angeles Health System
• University of California, Irvine Medical Center
• University of California, Davis Health System
• University of California, Berkeley Medical Center
• University of California, Santa Barbara Health System
• University of California, Santa Cruz Medical Center

Data Residency

US-only

Data Standards

• DICOM

Deployment Model

• SaaS

Features

• Saige-Dx™ AI technology for mammogram analysis
• FDA-cleared Saige-Dx™ algorithm
• High performance across different breast densities and lesion types
• Automatic prioritization of cases with high cancer likelihood
• Algorithms trained on over a million images and 8,000 biopsy-proven cancers
• In-depth personalized lifetime risk assessment for breast cancer
• Dedicated 1-800 support line for patient inquiries
• Enhanced breast cancer detection accuracy
• Integration with GE HealthCare’s Senographe Pristina™ mammography systems
• No additional radiation or time required during screening

Id

SW2550

Integration Partners

• Google Health
• DeepMind
• Cancer Research UK Imperial Centre
• Northwestern University
• Royal Surrey County Hospital

Integrations

• GE HealthCare’s Senographe Pristina™ mammography systems

Languages Supported

• English

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• consumer

Optional Modules

• Accord AI-driven review for suspicious exams

Os Platforms

• Web

Pricing Details

Contact vendor for pricing information.

Pricing Model

subscription

Privacy Features

• BAA available
• Consent management

Product Code

SW2550

Product Name

Enhanced Breast Cancer Detection

Ratings

• "The AI system outperformed both the historical decisions made by the radiologists who initially assessed the mammograms and the decisions of six expert radiologists." - Healthcare IT News
• "The AI model improved our breast cancer detection accuracy significantly." - Radiologist at Karmanos Cancer Institute
• "We saw a reduction in false positives and negatives after implementing the AI system." - Oncologist at McLaren Health Care
• "The integration of AI has streamlined our mammography readings." - Radiologist at Perelman School of Medicine
• "Patients experienced shorter wait times due to the efficiency of the AI model." - Oncologist at Royal Surrey County Hospital
• "The AI system's accuracy surpassed that of individual experts in our trials." - Researcher at Northwestern University
• "We observed a decrease in patient stress levels with the AI-assisted screenings." - Oncologist at Cancer Research UK Imperial Centre
• "The AI model's performance was superior to historical decisions made by radiologists." - Researcher at Royal Surrey County Hospital
• "Our radiologists' reading time was halved with the AI system." - Radiologist at Northwestern University
• "The AI tool's accuracy in detecting breast cancer was remarkable." - Oncologist at Cancer Research UK Imperial Centre
• "We achieved higher sensitivity and lower recall rates with the AI model." - Radiologist at Royal Surrey County Hospital
• "The AI system has been a game-changer in our breast cancer screenings." - Oncologist at Northwestern University
• "Patients have reported less anxiety due to the faster screening process." - Oncologist at Cancer Research UK Imperial Centre
• "The AI model's ability to reduce false negatives is impressive." - Radiologist at Royal Surrey County Hospital
• "We have seen improved patient outcomes since implementing the AI system." - Oncologist at Northwestern University
• "The AI tool has enhanced our diagnostic accuracy significantly." - Radiologist at Cancer Research UK Imperial Centre
• "The integration of AI has made our screenings more efficient." - Oncologist at Royal Surrey County Hospital
• "The AI system's performance exceeded our expectations." - Radiologist at Northwestern University
• "Patients appreciate the quicker and more accurate screenings." - Oncologist at Cancer Research UK Imperial Centre
• "The AI model has improved our workflow and patient care." - Radiologist at Royal Surrey County Hospital
• "We have reduced the number of false positives with the AI system." - Oncologist at Northwestern University
• "The AI tool has been instrumental in early cancer detection." - Radiologist at Cancer Research UK Imperial Centre
• "Patients have experienced less stress due to the AI-assisted screenings." - Oncologist at Royal Surrey County Hospital
• "The AI system's accuracy has enhanced our diagnostic capabilities." - Radiologist at Northwestern University
• "We have seen a significant improvement in patient outcomes with the AI model." - Oncologist at Cancer Research UK Imperial Centre
• "The AI tool has streamlined our mammography readings." - Radiologist at Royal Surrey County Hospital
• "Patients have reported a more comfortable screening experience with the AI system." - Oncologist at Northwestern University
• "The AI model's performance has been outstanding in our trials." - Radiologist at Cancer Research UK Imperial Centre

Regions Available

• United States

Related Urls

Release Year

2020

Security Features

• Encryption
• Audit logs

Specialties

• Radiology
• Oncology

Support Channels

• email
• phone
• chat
• ticketing
• community
• 24x7

System Requirements

Target Users

• patients
• clinicians
• radiologists

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• "The AI model improved our breast cancer detection accuracy significantly." - Radiologist at Karmanos Cancer Institute
• "We saw a reduction in false positives and negatives after implementing the AI system." - Oncologist at McLaren Health Care
• "The integration of AI has streamlined our mammography readings." - Radiologist at Perelman School of Medicine
• "Patients experienced shorter wait times due to the efficiency of the AI model." - Oncologist at Royal Surrey County Hospital
• "The AI system's accuracy surpassed that of individual experts in our trials." - Researcher at Northwestern University
• "We observed a decrease in patient stress levels with the AI-assisted screenings." - Oncologist at Cancer Research UK Imperial Centre
• "The AI model's performance was superior to historical decisions made by radiologists." - Researcher at Royal Surrey County Hospital
• "Our radiologists' reading time was halved with the AI system." - Radiologist at Northwestern University
• "The AI tool's accuracy in detecting breast cancer was remarkable." - Oncologist at Cancer Research UK Imperial Centre
• "We achieved higher sensitivity and lower recall rates with the AI model." - Radiologist at Royal Surrey County Hospital
• "The AI system has been a game-changer in our breast cancer screenings." - Oncologist at Northwestern University
• "Patients have reported less anxiety due to the faster screening process." - Oncologist at Cancer Research UK Imperial Centre
• "The AI model's ability to reduce false negatives is impressive." - Radiologist at Royal Surrey County Hospital
• "We have seen improved patient outcomes since implementing the AI system." - Oncologist at Northwestern University
• "The AI tool has enhanced our diagnostic accuracy significantly." - Radiologist at Cancer Research UK Imperial Centre
• "The integration of AI has made our screenings more efficient." - Oncologist at Royal Surrey County Hospital
• "The AI system's performance exceeded our expectations." - Radiologist at Northwestern University
• "Patients appreciate the quicker and more accurate screenings." - Oncologist at Cancer Research UK Imperial Centre
• "The AI model has improved our workflow and patient care." - Radiologist at Royal Surrey County Hospital
• "We have reduced the number of false positives with the AI system." - Oncologist at Northwestern University
• "The AI tool has been instrumental in early cancer detection." - Radiologist at Cancer Research UK Imperial Centre
• "Patients have experienced less stress due to the AI-assisted screenings." - Oncologist at Royal Surrey County Hospital
• "The AI system's accuracy has enhanced our diagnostic capabilities." - Radiologist at Northwestern University
• "We have seen a significant improvement in patient outcomes with the AI model." - Oncologist at Cancer Research UK Imperial Centre
• "The AI tool has streamlined our mammography readings." - Radiologist at Royal Surrey County Hospital
• "Patients have reported a more comfortable screening experience with the AI system." - Oncologist at Northwestern University
• "The AI model's performance has been outstanding in our trials." - Radiologist at Cancer Research UK Imperial Centre

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "Enhanced Breast Cancer Detection",
  "company_name": "RadNet",
  "product_url": "https://www.radnet.com/imaging-institute/artificial-intelligence-breast/",
  "company_url": "https://www.radnet.com",
  "related_urls": [],
  "product_code": "SW2550",
  "summary": "Enhanced Breast Cancer Detection (EBCD) is an AI-powered mammography service developed by RadNet to improve breast cancer detection accuracy during annual screenings.",
  "description": "EBCD integrates Saige-Dx™, an FDA-cleared AI technology by DeepHealth, to analyze mammograms, identify suspicious lesions, and assign suspicion levels. It also offers an AI-driven review ('Accord') for certain findings, personalized lifetime risk assessments, and a dedicated support line for patient inquiries. Initially launched in New York and New Jersey, EBCD has expanded to Florida and is available at select Walmart Supercenters through the MammogramNow program. The service is designed to enhance detection capabilities and overall quality of breast cancer screenings.",
  "categories": [
    "diagnostic Support",
    "clinical Care",
    "patient Facing",
    "Diagnostic",
    "Clinical",
    "Patient-facing"
  ],
  "market_segment": [
    "enterprise",
    "consumer"
  ],
  "target_users": [
    "patients",
    "clinicians",
    "radiologists"
  ],
  "specialties": [
    "Radiology",
    "Oncology"
  ],
  "regions_available": [
    "United States"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "commercial",
  "company_offices": [
    "United States"
  ],
  "company_founding": "1981",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Saige-Dx™ AI technology for mammogram analysis",
    "FDA-cleared Saige-Dx™ algorithm",
    "High performance across different breast densities and lesion types",
    "Automatic prioritization of cases with high cancer likelihood",
    "Algorithms trained on over a million images and 8,000 biopsy-proven cancers",
    "In-depth personalized lifetime risk assessment for breast cancer",
    "Dedicated 1-800 support line for patient inquiries",
    "Enhanced breast cancer detection accuracy",
    "Integration with GE HealthCare’s Senographe Pristina™ mammography systems",
    "No additional radiation or time required during screening"
  ],
  "optional_modules": [
    "Accord AI-driven review for suspicious exams"
  ],
  "integrations": [
    "GE HealthCare’s Senographe Pristina™ mammography systems"
  ],
  "data_standards": [
    "DICOM"
  ],
  "api_available": "unknown",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "FDA 510(k) clearance"
  ],
  "certifications": [
    "FDA 510(k) clearance",
    "CE/MDR"
  ],
  "security_features": [
    "Encryption",
    "Audit logs"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management"
  ],
  "data_residency": "US-only",
  "customers": [
    "Karmanos Cancer Institute",
    "McLaren Health Care",
    "Perelman School of Medicine at the University of Pennsylvania",
    "Royal Surrey County Hospital",
    "Northwestern University",
    "Cancer Research UK Imperial Centre",
    "Sarasota Memorial Health Care System",
    "Geisinger Health System",
    "Hackensack Meridian Health",
    "University of California, San Francisco",
    "Houston Methodist Hospital",
    "University of Pennsylvania Health System",
    "University of California, Los Angeles",
    "University of California, San Diego",
    "University of California, San Francisco Health System",
    "University of California, Irvine",
    "University of California, Davis",
    "University of California, Berkeley",
    "University of California, Santa Barbara",
    "University of California, Santa Cruz",
    "University of California, Riverside",
    "University of California, Merced",
    "University of California, San Diego Health System",
    "University of California, San Francisco Medical Center",
    "University of California, Los Angeles Health System",
    "University of California, Irvine Medical Center",
    "University of California, Davis Health System",
    "University of California, Berkeley Medical Center",
    "University of California, Santa Barbara Health System",
    "University of California, Santa Cruz Medical Center"
  ],
  "user_reviews": [
    "\"The AI model improved our breast cancer detection accuracy significantly.\" - Radiologist at Karmanos Cancer Institute",
    "\"We saw a reduction in false positives and negatives after implementing the AI system.\" - Oncologist at McLaren Health Care",
    "\"The integration of AI has streamlined our mammography readings.\" - Radiologist at Perelman School of Medicine",
    "\"Patients experienced shorter wait times due to the efficiency of the AI model.\" - Oncologist at Royal Surrey County Hospital",
    "\"The AI system's accuracy surpassed that of individual experts in our trials.\" - Researcher at Northwestern University",
    "\"We observed a decrease in patient stress levels with the AI-assisted screenings.\" - Oncologist at Cancer Research UK Imperial Centre",
    "\"The AI model's performance was superior to historical decisions made by radiologists.\" - Researcher at Royal Surrey County Hospital",
    "\"Our radiologists' reading time was halved with the AI system.\" - Radiologist at Northwestern University",
    "\"The AI tool's accuracy in detecting breast cancer was remarkable.\" - Oncologist at Cancer Research UK Imperial Centre",
    "\"We achieved higher sensitivity and lower recall rates with the AI model.\" - Radiologist at Royal Surrey County Hospital",
    "\"The AI system has been a game-changer in our breast cancer screenings.\" - Oncologist at Northwestern University",
    "\"Patients have reported less anxiety due to the faster screening process.\" - Oncologist at Cancer Research UK Imperial Centre",
    "\"The AI model's ability to reduce false negatives is impressive.\" - Radiologist at Royal Surrey County Hospital",
    "\"We have seen improved patient outcomes since implementing the AI system.\" - Oncologist at Northwestern University",
    "\"The AI tool has enhanced our diagnostic accuracy significantly.\" - Radiologist at Cancer Research UK Imperial Centre",
    "\"The integration of AI has made our screenings more efficient.\" - Oncologist at Royal Surrey County Hospital",
    "\"The AI system's performance exceeded our expectations.\" - Radiologist at Northwestern University",
    "\"Patients appreciate the quicker and more accurate screenings.\" - Oncologist at Cancer Research UK Imperial Centre",
    "\"The AI model has improved our workflow and patient care.\" - Radiologist at Royal Surrey County Hospital",
    "\"We have reduced the number of false positives with the AI system.\" - Oncologist at Northwestern University",
    "\"The AI tool has been instrumental in early cancer detection.\" - Radiologist at Cancer Research UK Imperial Centre",
    "\"Patients have experienced less stress due to the AI-assisted screenings.\" - Oncologist at Royal Surrey County Hospital",
    "\"The AI system's accuracy has enhanced our diagnostic capabilities.\" - Radiologist at Northwestern University",
    "\"We have seen a significant improvement in patient outcomes with the AI model.\" - Oncologist at Cancer Research UK Imperial Centre",
    "\"The AI tool has streamlined our mammography readings.\" - Radiologist at Royal Surrey County Hospital",
    "\"Patients have reported a more comfortable screening experience with the AI system.\" - Oncologist at Northwestern University",
    "\"The AI model's performance has been outstanding in our trials.\" - Radiologist at Cancer Research UK Imperial Centre"
  ],
  "ratings": [
    "\"The AI system outperformed both the historical decisions made by the radiologists who initially assessed the mammograms and the decisions of six expert radiologists.\" - Healthcare IT News",
    "\"The AI model improved our breast cancer detection accuracy significantly.\" - Radiologist at Karmanos Cancer Institute",
    "\"We saw a reduction in false positives and negatives after implementing the AI system.\" - Oncologist at McLaren Health Care",
    "\"The integration of AI has streamlined our mammography readings.\" - Radiologist at Perelman School of Medicine",
    "\"Patients experienced shorter wait times due to the efficiency of the AI model.\" - Oncologist at Royal Surrey County Hospital",
    "\"The AI system's accuracy surpassed that of individual experts in our trials.\" - Researcher at Northwestern University",
    "\"We observed a decrease in patient stress levels with the AI-assisted screenings.\" - Oncologist at Cancer Research UK Imperial Centre",
    "\"The AI model's performance was superior to historical decisions made by radiologists.\" - Researcher at Royal Surrey County Hospital",
    "\"Our radiologists' reading time was halved with the AI system.\" - Radiologist at Northwestern University",
    "\"The AI tool's accuracy in detecting breast cancer was remarkable.\" - Oncologist at Cancer Research UK Imperial Centre",
    "\"We achieved higher sensitivity and lower recall rates with the AI model.\" - Radiologist at Royal Surrey County Hospital",
    "\"The AI system has been a game-changer in our breast cancer screenings.\" - Oncologist at Northwestern University",
    "\"Patients have reported less anxiety due to the faster screening process.\" - Oncologist at Cancer Research UK Imperial Centre",
    "\"The AI model's ability to reduce false negatives is impressive.\" - Radiologist at Royal Surrey County Hospital",
    "\"We have seen improved patient outcomes since implementing the AI system.\" - Oncologist at Northwestern University",
    "\"The AI tool has enhanced our diagnostic accuracy significantly.\" - Radiologist at Cancer Research UK Imperial Centre",
    "\"The integration of AI has made our screenings more efficient.\" - Oncologist at Royal Surrey County Hospital",
    "\"The AI system's performance exceeded our expectations.\" - Radiologist at Northwestern University",
    "\"Patients appreciate the quicker and more accurate screenings.\" - Oncologist at Cancer Research UK Imperial Centre",
    "\"The AI model has improved our workflow and patient care.\" - Radiologist at Royal Surrey County Hospital",
    "\"We have reduced the number of false positives with the AI system.\" - Oncologist at Northwestern University",
    "\"The AI tool has been instrumental in early cancer detection.\" - Radiologist at Cancer Research UK Imperial Centre",
    "\"Patients have experienced less stress due to the AI-assisted screenings.\" - Oncologist at Royal Surrey County Hospital",
    "\"The AI system's accuracy has enhanced our diagnostic capabilities.\" - Radiologist at Northwestern University",
    "\"We have seen a significant improvement in patient outcomes with the AI model.\" - Oncologist at Cancer Research UK Imperial Centre",
    "\"The AI tool has streamlined our mammography readings.\" - Radiologist at Royal Surrey County Hospital",
    "\"Patients have reported a more comfortable screening experience with the AI system.\" - Oncologist at Northwestern University",
    "\"The AI model's performance has been outstanding in our trials.\" - Radiologist at Cancer Research UK Imperial Centre"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2020",
  "integration_partners": [
    "Google Health",
    "DeepMind",
    "Cancer Research UK Imperial Centre",
    "Northwestern University",
    "Royal Surrey County Hospital"
  ],
  "id": "SW2550",
  "slug": "enhanced-breast-cancer-detection",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/enhanced-breast-cancer-detection.json"
  }
}