syngo.CT Lung CAD

JSON twin: https://www.healthaidb.com/software/syngo-ct-lung-cad.json

Company Name

Siemens Healthineers

Product URL

https://www.siemens-healthineers.com/en-us/computed-tomography/ct-clinical-applications/ct-syngo-ct-lung-cad

Company URL

https://www.siemens-healthineers.com

Categories

• diagnostic Support
• clinical Care
• radiology
• imaging Software
• Diagnostic
• Clinical
• Computer-aided Detection

Summary

syngo.CT Lung CAD is an AI-powered software tool that assists radiologists in detecting solid and subsolid pulmonary nodules in chest CT scans, enhancing diagnostic accuracy and efficiency.

Description

syngo.CT Lung CAD is a computer-aided detection (CAD) software developed by Siemens Healthineers to aid radiologists in identifying solid and subsolid pulmonary nodules during chest CT examinations. Utilizing deep learning algorithms based on convolutional neural networks (CNNs), it processes CT images to highlight potential nodules, thereby reducing the likelihood of missed diagnoses. The software integrates seamlessly with existing medical imaging platforms, presenting findings in syngo.via’s Findings Navigator for easy review and reporting. It is intended as a second reader tool, alerting radiologists to regions of interest that may have been initially overlooked. The device has received FDA clearance, demonstrating its safety and effectiveness in clinical settings.

Api Available

no

Certifications

• FDA 510(k) clearance

Company Founding

1847

Company Offices

• Germany
• United States
• China
• India
• Brazil
• Japan
• United Kingdom
• France
• Italy
• Spain

Compliance

• HIPAA
• FDA 510(k) clearance

Customers

Data Residency

US/EU regions

Data Standards

• DICOM

Deployment Model

• on_prem

Features

• Automated detection of solid and subsolid pulmonary nodules
• Integration with syngo.via's Findings Navigator for result presentation
• Detection of round and irregular nodules
• Detection of central and peripheral nodules
• Identification of solitary nodules and those adjacent to vessels and pleural surfaces

Id

SW0047

Integration Partners

Integrations

• syngo.via

Languages Supported

• English
• German
• Chinese
• Spanish
• French
• Italian
• Portuguese
• Japanese
• Korean
• Russian
• Arabic
• Turkish
• Dutch
• Swedish
• Norwegian
• Danish
• Finnish
• Polish
• Czech
• Hungarian

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise

Optional Modules

• syngo.CT Colonography PEV
• syngo.CT Colonography Advanced

Os Platforms

• Windows

Pricing Details

Contact vendor for pricing information.

Pricing Model

subscription

Privacy Features

• Data anonymization

Product Code

SW0047

Product Name

syngo.CT Lung CAD

Ratings

Regions Available

• United States
• China
• Germany
• India
• Brazil
• Japan
• United Kingdom
• France
• Italy
• Spain
• Canada
• Australia
• South Korea
• Mexico
• Russia
• South Africa
• Saudi Arabia
• Turkey
• Argentina
• United Arab Emirates

Related Urls

• https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices

Release Year

""

Security Features

• Audit logs

Specialties

• Pulmonology
• Radiology

Support Channels

System Requirements

Windows OS, syngo.via platform

Target Users

• radiologists
• clinicians

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

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  "company_name": "Siemens Healthineers",
  "product_url": "https://www.siemens-healthineers.com/en-us/computed-tomography/ct-clinical-applications/ct-syngo-ct-lung-cad",
  "company_url": "https://www.siemens-healthineers.com",
  "related_urls": [
    "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
  ],
  "product_code": "SW0047",
  "summary": "syngo.CT Lung CAD is an AI-powered software tool that assists radiologists in detecting solid and subsolid pulmonary nodules in chest CT scans, enhancing diagnostic accuracy and efficiency.",
  "description": "syngo.CT Lung CAD is a computer-aided detection (CAD) software developed by Siemens Healthineers to aid radiologists in identifying solid and subsolid pulmonary nodules during chest CT examinations. Utilizing deep learning algorithms based on convolutional neural networks (CNNs), it processes CT images to highlight potential nodules, thereby reducing the likelihood of missed diagnoses. The software integrates seamlessly with existing medical imaging platforms, presenting findings in syngo.via’s Findings Navigator for easy review and reporting. It is intended as a second reader tool, alerting radiologists to regions of interest that may have been initially overlooked. The device has received FDA clearance, demonstrating its safety and effectiveness in clinical settings.",
  "categories": [
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  "market_segment": [
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  "specialties": [
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    "Italy",
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    "Canada",
    "Australia",
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    "Mexico",
    "Russia",
    "South Africa",
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    "Spanish",
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    "Portuguese",
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    "Korean",
    "Russian",
    "Arabic",
    "Turkish",
    "Dutch",
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  "pricing_model": "subscription",
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  "license": "commercial",
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    "United States",
    "China",
    "India",
    "Brazil",
    "Japan",
    "United Kingdom",
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    "Italy",
    "Spain"
  ],
  "company_founding": "1847",
  "deployment_model": [
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  "os_platforms": [
    "Windows"
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  "features": [
    "Automated detection of solid and subsolid pulmonary nodules",
    "Integration with syngo.via's Findings Navigator for result presentation",
    "Detection of round and irregular nodules",
    "Detection of central and peripheral nodules",
    "Identification of solitary nodules and those adjacent to vessels and pleural surfaces"
  ],
  "optional_modules": [
    "syngo.CT Colonography PEV",
    "syngo.CT Colonography Advanced"
  ],
  "integrations": [
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  "data_standards": [
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  "api_available": "no",
  "system_requirements": "Windows OS, syngo.via platform",
  "compliance": [
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  "certifications": [
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  ],
  "security_features": [
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  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "\"\"",
  "integration_partners": [],
  "id": "SW0047",
  "slug": "syngo-ct-lung-cad",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
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}