qXR-LN

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

Company Name

Qure.ai

Product URL

https://alpha.qure.ai/product/qxr

Company URL

https://www.qure.ai/

Categories

• diagnostic Support
• clinical Care
• radiology
• oncology Care
• Diagnostic
• Clinical
• Oncology

Summary

qXR-LN is an AI-driven software by Qure.ai that assists clinicians in detecting and localizing lung nodules in chest X-rays, enhancing early lung cancer detection.

Description

qXR-LN is a computer-aided detection software designed to identify and highlight regions indicative of suspected pulmonary nodules ranging from 6 to 30 mm in size on frontal chest radiographs. It serves as a second reader for physicians, aiding in the review of chest X-rays acquired on digital radiographic systems. The software utilizes a deep learning algorithm trained on 2.5 million chest X-ray scans from diverse populations and equipment manufacturers, processing DICOM-format frontal chest X-ray images and outputting DICOM images with regions of interest marked for probable nodules. qXR-LN has received FDA 510(k) clearance and is intended to assist radiologists, pulmonologists, and ER physicians in reviewing chest radiographs. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K231805?utm_source=openai))

Api Available

yes

Certifications

• CE (0123)
• FDA 510(k) clearances for qXR variants

Company Founding

2016

Company Offices

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

Compliance

• HIPAA
• GDPR

Customers

• Boston Consulting Group, India

Data Residency

Multi-region/cloud with on-prem deployment option (region/hosting selectable via cloud or on-prem gateway)

Data Standards

• DICOM

Deployment Model

• cloud
• on_prem
• hybrid

Features

• Automated chest X-ray interpretation (multi-finding detection, ~29 findings)
• Pre-read assistance with priority flagging (critical/triage)
• AI overlays/contour localization on images
• Pre-filled/templated radiology reports (PDF/text/structured)
• DICOM viewer with window/level and measurement tools
• Worklist management, filters, and saveable views
• High-volume/low-latency processing (<20s typical)
• Segregation of unremarkable CXRs to reduce backlog
• Multilingual UI and reporting
• TB and lung-cancer screening workflows
• Mobile and desktop access via Qure.ai App
• Automated sharing and collaboration (share patient files)
• Gateway/DCMIO for modality/PACS connectivity
• Reporting panel with edit/download capabilities
• Case prioritization and alerting for critical findings

Id

SW0273

Integration Partners

• Google Cloud
• AWS
• Microsoft Azure

Integrations

• PACS (DICOM network)
• Modalities/X-ray machines (DICOM SCU/SCP)
• Qure Gateway (DCMIO) for on-prem integrations
• Qure.ai App (app.qure.ai)
• AWS (cloud hosting/partner)
• Fujifilm's Synapse REiLI® platform

Languages Supported

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

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb

Optional Modules

• qXR-BT (Breathing Tube Confirmation)
• qXR-CTR (Cardiothoracic Ratio Measurement)
• qXR-PTX-PE (Pneumothorax and Pleural Effusion Detection)
• qER (Emergency Room Head CT Scans)
• qER-Quant (Head CT Quantification)

Os Platforms

• Web
• iOS
• Android
• Windows
• macOS

Pricing Details

Contact vendor for pricing information.

Pricing Model

subscription

Privacy Features

• BAA available
• User consent management
• Data minimization options

Product Code

SW0273

Product Name

qXR-LN

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
• East Asia
• Central Asia
• Western Europe
• Eastern Europe
• Northern Europe
• Southern Europe
• Oceania
• Caribbean
• Central America
• Sub-Saharan Africa

Related Urls

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

Release Year

2016

Security Features

• Encryption (in transit & at rest)
• RBAC/user groups
• Audit logs
• SSO (enterprise auth)

Specialties

• Pulmonology
• Oncology
• Radiology

Support Channels

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

System Requirements

Supports cloud deployment; on-prem deployment via gateway/DCMIO and server setup (see on-prem deployment/specs); desktop apps for Windows/macOS; mobile for iOS/Android

Target Users

• radiologists
• pulmonologists
• emergency room physicians

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": "qXR-LN",
  "company_name": "Qure.ai",
  "product_url": "https://alpha.qure.ai/product/qxr",
  "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": "SW0273",
  "summary": "qXR-LN is an AI-driven software by Qure.ai that assists clinicians in detecting and localizing lung nodules in chest X-rays, enhancing early lung cancer detection.",
  "description": "qXR-LN is a computer-aided detection software designed to identify and highlight regions indicative of suspected pulmonary nodules ranging from 6 to 30 mm in size on frontal chest radiographs. It serves as a second reader for physicians, aiding in the review of chest X-rays acquired on digital radiographic systems. The software utilizes a deep learning algorithm trained on 2.5 million chest X-ray scans from diverse populations and equipment manufacturers, processing DICOM-format frontal chest X-ray images and outputting DICOM images with regions of interest marked for probable nodules. qXR-LN has received FDA 510(k) clearance and is intended to assist radiologists, pulmonologists, and ER physicians in reviewing chest radiographs. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K231805?utm_source=openai))",
  "categories": [
    "diagnostic Support",
    "clinical Care",
    "radiology",
    "oncology Care",
    "Diagnostic",
    "Clinical",
    "Radiology",
    "Oncology"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "radiologists",
    "pulmonologists",
    "emergency room physicians"
  ],
  "specialties": [
    "Pulmonology",
    "Oncology",
    "Radiology"
  ],
  "regions_available": [
    "United States",
    "India",
    "Europe",
    "Asia",
    "Africa",
    "Australia",
    "South America",
    "North America",
    "Middle East",
    "Southeast Asia",
    "East Asia",
    "Central Asia",
    "Western Europe",
    "Eastern Europe",
    "Northern Europe",
    "Southern Europe",
    "Oceania",
    "Caribbean",
    "Central America",
    "Sub-Saharan Africa"
  ],
  "languages_supported": [
    "English",
    "Hindi",
    "Spanish",
    "French",
    "German",
    "Italian",
    "Portuguese",
    "Dutch",
    "Russian",
    "Chinese",
    "Japanese",
    "Korean",
    "Arabic",
    "Turkish",
    "Vietnamese",
    "Thai",
    "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",
    "Canada",
    "Brazil"
  ],
  "company_founding": "2016",
  "deployment_model": [
    "cloud",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android",
    "Windows",
    "macOS"
  ],
  "features": [
    "Automated chest X-ray interpretation (multi-finding detection, ~29 findings)",
    "Pre-read assistance with priority flagging (critical/triage)",
    "AI overlays/contour localization on images",
    "Pre-filled/templated radiology reports (PDF/text/structured)",
    "DICOM viewer with window/level and measurement tools",
    "Worklist management, filters, and saveable views",
    "High-volume/low-latency processing (<20s typical)",
    "Segregation of unremarkable CXRs to reduce backlog",
    "Multilingual UI and reporting",
    "TB and lung-cancer screening workflows",
    "Mobile and desktop access via Qure.ai App",
    "Automated sharing and collaboration (share patient files)",
    "Gateway/DCMIO for modality/PACS connectivity",
    "Reporting panel with edit/download capabilities",
    "Case prioritization and alerting for critical findings"
  ],
  "optional_modules": [
    "qXR-BT (Breathing Tube Confirmation)",
    "qXR-CTR (Cardiothoracic Ratio Measurement)",
    "qXR-PTX-PE (Pneumothorax and Pleural Effusion Detection)",
    "qER (Emergency Room Head CT Scans)",
    "qER-Quant (Head CT Quantification)"
  ],
  "integrations": [
    "PACS (DICOM network)",
    "Modalities/X-ray machines (DICOM SCU/SCP)",
    "Qure Gateway (DCMIO) for on-prem integrations",
    "Qure.ai App (app.qure.ai)",
    "AWS (cloud hosting/partner)",
    "Fujifilm's Synapse REiLI® platform"
  ],
  "data_standards": [
    "DICOM"
  ],
  "api_available": "yes",
  "system_requirements": "Supports cloud deployment; on-prem deployment via gateway/DCMIO and server setup (see on-prem deployment/specs); desktop apps for Windows/macOS; mobile for iOS/Android",
  "compliance": [
    "HIPAA",
    "GDPR"
  ],
  "certifications": [
    "CE (0123)",
    "FDA 510(k) clearances for qXR variants"
  ],
  "security_features": [
    "Encryption (in transit & at rest)",
    "RBAC/user groups",
    "Audit logs",
    "SSO (enterprise auth)"
  ],
  "privacy_features": [
    "BAA available",
    "User consent management",
    "Data minimization options"
  ],
  "data_residency": "Multi-region/cloud with on-prem deployment option (region/hosting selectable via cloud or on-prem gateway)",
  "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": "2016",
  "integration_partners": [
    "Google Cloud",
    "AWS",
    "Microsoft Azure"
  ],
  "id": "SW0273",
  "slug": "qxr-ln",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/qxr-ln.json"
  }
}