CAD4COVID-XRay

JSON twin: https://www.healthaidb.com/software/cad4covid-xray.json

Company Name

Delft Imaging

Product URL

https://www.delft.care/products/cad4covid-xray

Company URL

https://www.delft.care/

Categories

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

Summary

CAD4COVID-XRay is an AI-driven software developed by Delft Imaging to assist in the detection and monitoring of COVID-19 through chest X-ray analysis, providing rapid triage support in resource-constrained settings.

Description

CAD4COVID-XRay utilizes deep learning algorithms to analyze chest X-rays, identifying abnormalities indicative of COVID-19. It offers features such as abnormality heatmaps, pathology quantification, and risk scoring, aiding healthcare professionals in efficient patient triage and monitoring. The software is CE certified and has been deployed in over 20 countries, including South Africa and Ghana, to enhance COVID-19 detection and management. It is available free of charge to support global public health efforts during the pandemic.

Api Available

yes

Certifications

• CE Class IIa MDD
• ISO 13485
• ISO 9001

Company Founding

2008

Company Offices

• Netherlands
• South Africa
• United States
• India
• Indonesia
• Philippines
• Brazil
• Mexico
• Nigeria
• Kenya
• Uganda
• Tanzania
• Ethiopia
• Pakistan
• Bangladesh
• Vietnam
• Thailand
• Egypt
• Morocco

Compliance

• CE Class IIa MDD
• ISO 13485
• ISO 9001

Customers

• 5 clinical customers in 5 countries
• 60 research/test users

Data Residency

Offline option stores images and patient data locally (country-level); cloud option synchronizes to Delft cloud (hosting region options not specified)

Data Standards

• DICOM

Deployment Model

• cloud
• hybrid
• on_prem

Features

• AI analysis of frontal chest X-rays for COVID-19 detection
• Image quality assessment
• Abnormality heatmap overlay
• Risk scoring (0-100) indicating likelihood of COVID-19
• Segmentation overlay highlighting affected lung areas
• Fast processing time (3-10 seconds per image)
• Integration with PACS systems
• Cloud-based deployment with local storage options
• Offline processing capability (CAD4COVIDbox)
• Multi-lingual platform support

Id

SW0687

Integration Partners

• PACS systems
• AI marketplaces
• distribution platforms

Integrations

• PACS
• Delft Light (portable X-ray)
• Delft Ultra
• Delft MAC
• EasyDR
• CompassDR
• National TB platforms/programs (via API)

Languages Supported

• English
• Afrikaans
• Dutch
• French
• Spanish
• Portuguese
• Arabic
• Hindi
• Bengali
• Vietnamese
• Thai
• Swahili
• Amharic
• Urdu
• Filipino
• Indonesian
• Turkish
• Persian
• Punjabi
• Tamil

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb
• consumer

Optional Modules

• CAD4TB (tuberculosis detection)
• CAD4Silicosis (silicosis detection)
• Platform analytics/insights module

Os Platforms

• Web
• Windows

Pricing Details

Free of charge

Pricing Model

free

Privacy Features

• Data processed for analyzing COVID-19 cases
• Data used for product development with explicit approval
• Adherence to European GDPR regulations

Product Code

SW0687

Product Name

CAD4COVID-XRay

Ratings

• No ratings found on third-party directories.

Regions Available

• South Africa
• Ghana
• Netherlands
• United States
• India
• Indonesia
• Philippines
• Brazil
• Mexico
• Nigeria
• Kenya
• Uganda
• Tanzania
• Ethiopia
• Pakistan
• Bangladesh
• Vietnam
• Thailand
• Egypt
• Morocco

Related Urls

• https://thirona.eu/product-news/cad4covid-xray-performs-comparable-to-radiologists/
• https://radiology.healthairegister.com/products/delft-imaging-cad4covid-xr/
• https://www.reimaginingtbcare.org/innovators/delft-imaging-systems/
• https://healthairegister.com/radiology/products/delft-imaging-cad4covid-xr

Release Year

2020

Security Features

• Local data storage for offline deployments
• Data synchronization to central cloud (configurable)
• Role-based privileges/administrator higher privileges
• Audit/logging (platform insights and reporting)

Specialties

• Pulmonology
• Infectious Diseases
• Radiology

Support Channels

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

System Requirements

DICOM images; CAD4COVIDbox: on-site workstation with local storage and 6-hour battery; CAD4COVIDcloud: internet connection and web browser

Target Users

• clinicians
• radiologists
• patients
• admins

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• No user reviews found on Reddit or third-party directories.

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "CAD4COVID-XRay",
  "company_name": "Delft Imaging",
  "product_url": "https://www.delft.care/products/cad4covid-xray",
  "company_url": "https://www.delft.care/",
  "related_urls": [
    "https://thirona.eu/product-news/cad4covid-xray-performs-comparable-to-radiologists/",
    "https://radiology.healthairegister.com/products/delft-imaging-cad4covid-xr/",
    "https://www.reimaginingtbcare.org/innovators/delft-imaging-systems/",
    "https://healthairegister.com/radiology/products/delft-imaging-cad4covid-xr"
  ],
  "product_code": "SW0687",
  "summary": "CAD4COVID-XRay is an AI-driven software developed by Delft Imaging to assist in the detection and monitoring of COVID-19 through chest X-ray analysis, providing rapid triage support in resource-constrained settings.",
  "description": "CAD4COVID-XRay utilizes deep learning algorithms to analyze chest X-rays, identifying abnormalities indicative of COVID-19. It offers features such as abnormality heatmaps, pathology quantification, and risk scoring, aiding healthcare professionals in efficient patient triage and monitoring. The software is CE certified and has been deployed in over 20 countries, including South Africa and Ghana, to enhance COVID-19 detection and management. It is available free of charge to support global public health efforts during the pandemic.",
  "categories": [
    "diagnostic Support",
    "clinical Care",
    "patient Facing",
    "Diagnostic",
    "Clinical",
    "Patient-facing"
  ],
  "market_segment": [
    "enterprise",
    "smb",
    "consumer"
  ],
  "target_users": [
    "clinicians",
    "radiologists",
    "patients",
    "admins"
  ],
  "specialties": [
    "Pulmonology",
    "Infectious Diseases",
    "Radiology"
  ],
  "regions_available": [
    "South Africa",
    "Ghana",
    "Netherlands",
    "United States",
    "India",
    "Indonesia",
    "Philippines",
    "Brazil",
    "Mexico",
    "Nigeria",
    "Kenya",
    "Uganda",
    "Tanzania",
    "Ethiopia",
    "Pakistan",
    "Bangladesh",
    "Vietnam",
    "Thailand",
    "Egypt",
    "Morocco"
  ],
  "languages_supported": [
    "English",
    "Afrikaans",
    "Dutch",
    "French",
    "Spanish",
    "Portuguese",
    "Arabic",
    "Hindi",
    "Bengali",
    "Vietnamese",
    "Thai",
    "Swahili",
    "Amharic",
    "Urdu",
    "Filipino",
    "Indonesian",
    "Turkish",
    "Persian",
    "Punjabi",
    "Tamil"
  ],
  "pricing_model": "free",
  "pricing_details": "Free of charge",
  "license": "commercial",
  "company_offices": [
    "Netherlands",
    "South Africa",
    "United States",
    "India",
    "Indonesia",
    "Philippines",
    "Brazil",
    "Mexico",
    "Nigeria",
    "Kenya",
    "Uganda",
    "Tanzania",
    "Ethiopia",
    "Pakistan",
    "Bangladesh",
    "Vietnam",
    "Thailand",
    "Egypt",
    "Morocco"
  ],
  "company_founding": "2008",
  "deployment_model": [
    "cloud",
    "hybrid",
    "on_prem"
  ],
  "os_platforms": [
    "Web",
    "Windows"
  ],
  "features": [
    "AI analysis of frontal chest X-rays for COVID-19 detection",
    "Image quality assessment",
    "Abnormality heatmap overlay",
    "Risk scoring (0-100) indicating likelihood of COVID-19",
    "Segmentation overlay highlighting affected lung areas",
    "Fast processing time (3-10 seconds per image)",
    "Integration with PACS systems",
    "Cloud-based deployment with local storage options",
    "Offline processing capability (CAD4COVIDbox)",
    "Multi-lingual platform support"
  ],
  "optional_modules": [
    "CAD4TB (tuberculosis detection)",
    "CAD4Silicosis (silicosis detection)",
    "Platform analytics/insights module"
  ],
  "integrations": [
    "PACS",
    "Delft Light (portable X-ray)",
    "Delft Ultra",
    "Delft MAC",
    "EasyDR",
    "CompassDR",
    "National TB platforms/programs (via API)"
  ],
  "data_standards": [
    "DICOM"
  ],
  "api_available": "yes",
  "system_requirements": "DICOM images; CAD4COVIDbox: on-site workstation with local storage and 6-hour battery; CAD4COVIDcloud: internet connection and web browser",
  "compliance": [
    "CE Class IIa MDD",
    "ISO 13485",
    "ISO 9001"
  ],
  "certifications": [
    "CE Class IIa MDD",
    "ISO 13485",
    "ISO 9001"
  ],
  "security_features": [
    "Local data storage for offline deployments",
    "Data synchronization to central cloud (configurable)",
    "Role-based privileges/administrator higher privileges",
    "Audit/logging (platform insights and reporting)"
  ],
  "privacy_features": [
    "Data processed for analyzing COVID-19 cases",
    "Data used for product development with explicit approval",
    "Adherence to European GDPR regulations"
  ],
  "data_residency": "Offline option stores images and patient data locally (country-level); cloud option synchronizes to Delft cloud (hosting region options not specified)",
  "customers": [
    "5 clinical customers in 5 countries",
    "60 research/test users"
  ],
  "user_reviews": [
    "No user reviews found on Reddit or third-party directories."
  ],
  "ratings": [
    "No ratings found on third-party directories."
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2020",
  "integration_partners": [
    "PACS systems",
    "AI marketplaces",
    "distribution platforms"
  ],
  "id": "SW0687",
  "slug": "cad4covid-xray",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/cad4covid-xray.json"
  }
}