TRACE4OC

JSON twin: https://www.healthaidb.com/software/trace4oc.json

Company Name

DeepTrace Technologies

Product URL

https://www.deeptracetech.com/en/products/trace4oc

Company URL

https://www.deeptracetech.com/

Categories

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

Summary

TRACE4OC is an AI-powered medical device that assesses women's risk of ovarian cancer by analyzing ultrasound images of adnexal masses combined with CA-125 serum levels and menopausal status.

Description

TRACE4OC is a CE-cleared medical device developed by DeepTrace Technologies. It utilizes machine learning to analyze transvaginal ultrasound images of adnexal masses, integrating CA-125 serum levels and menopausal status to classify women's risk of ovarian cancer as very low or medium-high. This tool aids gynecology specialists in the diagnostic process, providing automated reports to support clinical decision-making.

Api Available

no

Certifications

• CE Marking (Class I, MDD)

Company Founding

2018

Company Offices

• Italy
• United States
• Germany
• France
• United Kingdom
• Spain
• Netherlands
• Switzerland
• Belgium
• Austria

Compliance

• CE Marking (Class I, MDD)

Customers

Data Residency

EU-only

Data Standards

• DICOM

Deployment Model

• on_prem

Features

• AI-based analysis of transvaginal ultrasound images
• Risk classification of ovarian cancer (very low risk or medium-high risk)
• Integration with CA-125 serum levels
• Consideration of menopausal status (pre- or post-menopausal)
• Semi-automatic reading of ovarian masses
• Automated reporting in PDF format
• CE-cleared medical device

Id

SW0686

Integration Partners

Integrations

• CA-125 serum levels
• Menopausal status data

Languages Supported

• English
• Italian
• German
• French
• Spanish
• Portuguese
• Dutch
• Russian
• Chinese
• Japanese
• Korean
• Arabic
• Turkish
• Hindi
• Bengali
• Punjabi
• Gujarati
• Tamil
• Telugu
• Marathi
• Urdu

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb

Optional Modules

Os Platforms

• Windows
• Linux

Pricing Details

Contact vendor for pricing information.

Pricing Model

subscription

Privacy Features

• Data anonymization
• Consent management

Product Code

SW0686

Product Name

TRACE4OC

Ratings

Regions Available

• Europe
• United States
• Canada
• Australia
• Japan
• South Korea
• China
• India
• Brazil
• Mexico
• South Africa
• Russia
• Saudi Arabia
• United Arab Emirates
• Turkey
• Egypt
• Argentina
• Chile
• Colombia
• Peru

Related Urls

• https://healthairegister.com/radiology/products/deeptrace-trace4oc

Release Year

2021

Security Features

• Data encryption
• Access control
• Audit logs

Specialties

• Gynecology
• Oncology

Support Channels

System Requirements

Windows or Linux server, dedicated hardware

Target Users

• gynecology specialists
• radiologists
• clinicians

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "TRACE4OC",
  "company_name": "DeepTrace Technologies",
  "product_url": "https://www.deeptracetech.com/en/products/trace4oc",
  "company_url": "https://www.deeptracetech.com/",
  "related_urls": [
    "https://healthairegister.com/radiology/products/deeptrace-trace4oc"
  ],
  "product_code": "SW0686",
  "summary": "TRACE4OC is an AI-powered medical device that assesses women's risk of ovarian cancer by analyzing ultrasound images of adnexal masses combined with CA-125 serum levels and menopausal status.",
  "description": "TRACE4OC is a CE-cleared medical device developed by DeepTrace Technologies. It utilizes machine learning to analyze transvaginal ultrasound images of adnexal masses, integrating CA-125 serum levels and menopausal status to classify women's risk of ovarian cancer as very low or medium-high. This tool aids gynecology specialists in the diagnostic process, providing automated reports to support clinical decision-making.",
  "categories": [
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    "diagnostic Support",
    "patient Facing",
    "Clinical",
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  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "gynecology specialists",
    "radiologists",
    "clinicians"
  ],
  "specialties": [
    "Gynecology",
    "Oncology"
  ],
  "regions_available": [
    "Europe",
    "United States",
    "Canada",
    "Australia",
    "Japan",
    "South Korea",
    "China",
    "India",
    "Brazil",
    "Mexico",
    "South Africa",
    "Russia",
    "Saudi Arabia",
    "United Arab Emirates",
    "Turkey",
    "Egypt",
    "Argentina",
    "Chile",
    "Colombia",
    "Peru"
  ],
  "languages_supported": [
    "English",
    "Italian",
    "German",
    "French",
    "Spanish",
    "Portuguese",
    "Dutch",
    "Russian",
    "Chinese",
    "Japanese",
    "Korean",
    "Arabic",
    "Turkish",
    "Hindi",
    "Bengali",
    "Punjabi",
    "Gujarati",
    "Tamil",
    "Telugu",
    "Marathi",
    "Urdu"
  ],
  "pricing_model": "subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "commercial",
  "company_offices": [
    "Italy",
    "United States",
    "Germany",
    "France",
    "United Kingdom",
    "Spain",
    "Netherlands",
    "Switzerland",
    "Belgium",
    "Austria"
  ],
  "company_founding": "2018",
  "deployment_model": [
    "on_prem"
  ],
  "os_platforms": [
    "Windows",
    "Linux"
  ],
  "features": [
    "AI-based analysis of transvaginal ultrasound images",
    "Risk classification of ovarian cancer (very low risk or medium-high risk)",
    "Integration with CA-125 serum levels",
    "Consideration of menopausal status (pre- or post-menopausal)",
    "Semi-automatic reading of ovarian masses",
    "Automated reporting in PDF format",
    "CE-cleared medical device"
  ],
  "optional_modules": [],
  "integrations": [
    "CA-125 serum levels",
    "Menopausal status data"
  ],
  "data_standards": [
    "DICOM"
  ],
  "api_available": "no",
  "system_requirements": "Windows or Linux server, dedicated hardware",
  "compliance": [
    "CE Marking (Class I, MDD)"
  ],
  "certifications": [
    "CE Marking (Class I, MDD)"
  ],
  "security_features": [
    "Data encryption",
    "Access control",
    "Audit logs"
  ],
  "privacy_features": [
    "Data anonymization",
    "Consent management"
  ],
  "data_residency": "EU-only",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "2021",
  "integration_partners": [],
  "id": "SW0686",
  "slug": "trace4oc",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/trace4oc.json"
  }
}