qCT LN Quant

JSON twin: https://www.healthaidb.com/software/qct-ln-quant.json

Company Name

Qure.ai

Product URL

https://www.qure.ai/product/lung-nodule-management

Company URL

https://www.qure.ai

Categories

• clinical Care
• diagnostic Support
• imaging Software
• oncology Care
• Clinical
• Diagnostic
• Imaging
• Oncology
• Pulmonology

Summary

qCT LN Quant is an AI-powered chest CT solution by Qure.ai that assists clinicians in analyzing and monitoring lung nodules, enhancing early lung cancer detection and management.

Description

qCT LN Quant is an FDA-cleared AI solution designed to support radiologists and pulmonologists in analyzing lung nodules on non-contrast chest CT scans. It offers advanced quantitative characterization of solid lung nodules, including measurements of average, short-axis, long-axis, and effective diameters. The solution enables clinicians to analyze morphological data across single or multiple thoracic studies, estimate volume doubling time, and track nodules over several time points. Additionally, it generates detailed 2D and 3D reconstructions, Brock malignancy risk scores, and provides management suggestions based on Fleischner Society guidelines, facilitating consistent and reliable clinical decision-making. qCT LN Quant is potentially eligible under two CPT codes for reimbursement: tissue quantification (CPT 0722T for CT) and 3D reconstruction code.

Api Available

yes

Certifications

• FDA 510(k)
• CE (MDR) Class IIb

Company Founding

2016

Company Offices

• India
• United States
• United Kingdom
• Germany
• Singapore
• United Arab Emirates
• South Africa
• Australia
• Brazil
• Japan

Compliance

• HIPAA
• EU GDPR
• FDA 510(k)
• CE (MDR) Class IIb

Customers

• Boston Consulting Group, India

Data Residency

US/EU regions

Data Standards

• DICOM
• PDF

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• Automated lung nodule detection and characterization (≥3 mm)
• Emphysema detection and quantification
• Volumetric nodule measurement and growth tracking
• DICOM image annotation overlay and secondary capture output
• PDF report generation and download
• DICOM viewer with measurement tools
• Worklist with filters and tags
• Automated sharing/report distribution
• Pre-read triage for lung cancer screening
• API-based upload, initiate computation, and fetch results
• 2D and 3D reconstructions of nodules
• Brock malignancy risk scores
• Fleischner Society guidelines-based management suggestions

Id

SW0181

Integration Partners

• Sanofi
• OpenLending

Integrations

• PACS
• EMRs

Languages Supported

• English
• Hindi
• Spanish
• French
• German
• Italian
• Portuguese
• Dutch
• Russian
• Chinese
• Japanese
• Korean
• Arabic
• Turkish
• Thai
• Vietnamese
• Indonesian
• Malay
• Tagalog
• Bengali

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB

Optional Modules

• Advanced nodule quantification (qCT LN Quant)
• Integration/connectors for specific PACS/vendors
• Workflow automation/automated sharing rules
• Report template customization

Os Platforms

• Web
• Windows
• macOS
• Linux

Pricing Details

Contact vendor for pricing information.

Pricing Model

Subscription

Privacy Features

• BAA available
• consent mgmt
• anonymization
• data minimization

Product Code

SW0181

Product Name

qCT LN Quant

Ratings

• 5.0 out of 5 stars on G2

Regions Available

• United States
• India
• Europe
• Asia
• Africa
• Australia
• South America
• North America
• Middle East
• Southeast Asia

Related Urls

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

Release Year

2022

Security Features

• Encryption
• RBAC
• SSO/SAML
• audit logs
• 2FA
• DLP

Specialties

• Pulmonology
• Oncology
• Radiology

Support Channels

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

System Requirements

Windows, macOS, Linux

Target Users

• Radiologists
• Pulmonologists
• Clinicians

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• It has the best deep learning and automated AI features to track and interpret X-rays, CTs, and Ultrasound scans within a significantly less duration of time using the best image processing and AI visions.

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "qCT LN Quant",
  "company_name": "Qure.ai",
  "product_url": "https://www.qure.ai/product/lung-nodule-management",
  "company_url": "https://www.qure.ai",
  "related_urls": [
    "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
  ],
  "product_code": "SW0181",
  "summary": "qCT LN Quant is an AI-powered chest CT solution by Qure.ai that assists clinicians in analyzing and monitoring lung nodules, enhancing early lung cancer detection and management.",
  "description": "qCT LN Quant is an FDA-cleared AI solution designed to support radiologists and pulmonologists in analyzing lung nodules on non-contrast chest CT scans. It offers advanced quantitative characterization of solid lung nodules, including measurements of average, short-axis, long-axis, and effective diameters. The solution enables clinicians to analyze morphological data across single or multiple thoracic studies, estimate volume doubling time, and track nodules over several time points. Additionally, it generates detailed 2D and 3D reconstructions, Brock malignancy risk scores, and provides management suggestions based on Fleischner Society guidelines, facilitating consistent and reliable clinical decision-making. qCT LN Quant is potentially eligible under two CPT codes for reimbursement: tissue quantification (CPT 0722T for CT) and 3D reconstruction code.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "imaging Software",
    "oncology Care",
    "Clinical",
    "Diagnostic",
    "Imaging",
    "Oncology",
    "Pulmonology"
  ],
  "market_segment": [
    "Enterprise",
    "SMB"
  ],
  "target_users": [
    "Radiologists",
    "Pulmonologists",
    "Clinicians"
  ],
  "specialties": [
    "Pulmonology",
    "Oncology",
    "Radiology"
  ],
  "regions_available": [
    "United States",
    "India",
    "Europe",
    "Asia",
    "Africa",
    "Australia",
    "South America",
    "North America",
    "Middle East",
    "Southeast Asia"
  ],
  "languages_supported": [
    "English",
    "Hindi",
    "Spanish",
    "French",
    "German",
    "Italian",
    "Portuguese",
    "Dutch",
    "Russian",
    "Chinese",
    "Japanese",
    "Korean",
    "Arabic",
    "Turkish",
    "Thai",
    "Vietnamese",
    "Indonesian",
    "Malay",
    "Tagalog",
    "Bengali"
  ],
  "pricing_model": "Subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "Commercial",
  "company_offices": [
    "India",
    "United States",
    "United Kingdom",
    "Germany",
    "Singapore",
    "United Arab Emirates",
    "South Africa",
    "Australia",
    "Brazil",
    "Japan"
  ],
  "company_founding": "2016",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "Windows",
    "macOS",
    "Linux"
  ],
  "features": [
    "Automated lung nodule detection and characterization (≥3 mm)",
    "Emphysema detection and quantification",
    "Volumetric nodule measurement and growth tracking",
    "DICOM image annotation overlay and secondary capture output",
    "PDF report generation and download",
    "DICOM viewer with measurement tools",
    "Worklist with filters and tags",
    "Automated sharing/report distribution",
    "Pre-read triage for lung cancer screening",
    "API-based upload, initiate computation, and fetch results",
    "2D and 3D reconstructions of nodules",
    "Brock malignancy risk scores",
    "Fleischner Society guidelines-based management suggestions"
  ],
  "optional_modules": [
    "Advanced nodule quantification (qCT LN Quant)",
    "Integration/connectors for specific PACS/vendors",
    "Workflow automation/automated sharing rules",
    "Report template customization"
  ],
  "integrations": [
    "PACS",
    "EMRs"
  ],
  "data_standards": [
    "DICOM",
    "PDF"
  ],
  "api_available": "yes",
  "system_requirements": "Windows, macOS, Linux",
  "compliance": [
    "HIPAA",
    "EU GDPR",
    "FDA 510(k)",
    "CE (MDR) Class IIb"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE (MDR) Class IIb"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "SSO/SAML",
    "audit logs",
    "2FA",
    "DLP"
  ],
  "privacy_features": [
    "BAA available",
    "consent mgmt",
    "anonymization",
    "data minimization"
  ],
  "data_residency": "US/EU regions",
  "customers": [
    "Boston Consulting Group, India"
  ],
  "user_reviews": [
    "It has the best deep learning and automated AI features to track and interpret X-rays, CTs, and Ultrasound scans within a significantly less duration of time using the best image processing and AI visions."
  ],
  "ratings": [
    "5.0 out of 5 stars on G2"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2022",
  "integration_partners": [
    "Sanofi",
    "OpenLending"
  ],
  "id": "SW0181",
  "slug": "qct-ln-quant",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/qct-ln-quant.json"
  }
}