qXR-CTR
JSON twin: https://www.healthaidb.com/software/qxr-ctr.json
Company Name
Qure.ai
Product URL
https://www.qure.ai/product/qxr
Company URL
https://www.qure.ai/
Categories
Summary
qXR-CTR is an AI-powered software by Qure.ai that automates the measurement of the cardiothoracic ratio (CTR) from chest X-ray images, aiding in the assessment of heart size and potential heart failure risk.
Description
qXR-CTR utilizes deep learning algorithms to analyze posterior-anterior chest X-ray images, calculating the CTR by measuring the maximal transverse diameters of the heart and thoracic cavity. It provides annotated X-rays and structured reports in DICOM and JSON formats, integrating seamlessly into existing radiology workflows to assist physicians in diagnosing and monitoring heart conditions.
Api Available
yes
Certifications
- CE (0123)
- FDA 510(k) clearances for qXR variants
Company Founding
2016
Company Offices
Compliance
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
- HL7 v2
- FHIR
- SNOMED CT
- ICD-10
Deployment Model
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
SW0311
Integration Partners
- GE Healthcare
- Philips Healthcare
- Siemens Healthineers
- Canon Medical Systems
- Fujifilm Medical Systems
- Carestream Health
- Agfa HealthCare
- Sectra
- Merge Healthcare
- McKesson Corporation
Integrations
- PACS (DICOM network)
- Modalities/X-ray machines (DICOM SCU/SCP)
- Qure Gateway (DCMIO)
- Qure.ai App (app.qure.ai)
- AWS (cloud hosting/partner)
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
Optional Modules
- qXR-BT
- qXR-PTX-PE
- qXR-LN
- qER
- qER-Quant
- qMSK
- qCT LN Quant
Os Platforms
- Web
- iOS
- Android
- Windows
- macOS
- Linux
Pricing Details
Contact vendor for pricing information.
Pricing Model
subscription
Privacy Features
- BAA available
- consent mgmt
- anonymization
- data minimization
Product Code
SW0311
Product Name
qXR-CTR
Ratings
Regions Available
Related Urls
Release Year
2016
Security Features
- Encryption
- RBAC
- SSO/SAML
- audit logs
- 2FA
- DLP
Specialties
Support Channels
- email
- phone
- chat
- ticketing
- community
- 24x7
System Requirements
Major OS/DB/hardware needs, or empty if SaaS-only
Target Users
- clinicians
- radiologists
- cardiologists
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-CTR",
"company_name": "Qure.ai",
"product_url": "https://www.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": "SW0311",
"summary": "qXR-CTR is an AI-powered software by Qure.ai that automates the measurement of the cardiothoracic ratio (CTR) from chest X-ray images, aiding in the assessment of heart size and potential heart failure risk.",
"description": "qXR-CTR utilizes deep learning algorithms to analyze posterior-anterior chest X-ray images, calculating the CTR by measuring the maximal transverse diameters of the heart and thoracic cavity. It provides annotated X-rays and structured reports in DICOM and JSON formats, integrating seamlessly into existing radiology workflows to assist physicians in diagnosing and monitoring heart conditions.",
"categories": [
"diagnostic Support",
"clinical Care",
"cardiology",
"Diagnostic",
"Clinical",
"Cardiology"
],
"market_segment": [
"enterprise",
"smb"
],
"target_users": [
"clinicians",
"radiologists",
"cardiologists"
],
"specialties": [
"Cardiology"
],
"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",
"Australia",
"South Africa",
"Brazil",
"Japan",
"China"
],
"company_founding": "2016",
"deployment_model": [
"cloud",
"on_prem",
"hybrid"
],
"os_platforms": [
"Web",
"iOS",
"Android",
"Windows",
"macOS",
"Linux"
],
"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",
"qXR-PTX-PE",
"qXR-LN",
"qER",
"qER-Quant",
"qMSK",
"qCT LN Quant"
],
"integrations": [
"PACS (DICOM network)",
"Modalities/X-ray machines (DICOM SCU/SCP)",
"Qure Gateway (DCMIO)",
"Qure.ai App (app.qure.ai)",
"AWS (cloud hosting/partner)"
],
"data_standards": [
"DICOM",
"HL7 v2",
"FHIR",
"SNOMED CT",
"ICD-10"
],
"api_available": "yes",
"system_requirements": "Major OS/DB/hardware needs, or empty if SaaS-only",
"compliance": [
"HIPAA",
"GDPR"
],
"certifications": [
"CE (0123)",
"FDA 510(k) clearances for qXR variants"
],
"security_features": [
"Encryption",
"RBAC",
"SSO/SAML",
"audit logs",
"2FA",
"DLP"
],
"privacy_features": [
"BAA available",
"consent mgmt",
"anonymization",
"data minimization"
],
"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": [
"GE Healthcare",
"Philips Healthcare",
"Siemens Healthineers",
"Canon Medical Systems",
"Fujifilm Medical Systems",
"Carestream Health",
"Agfa HealthCare",
"Sectra",
"Merge Healthcare",
"McKesson Corporation"
],
"id": "SW0311",
"slug": "qxr-ctr",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/qxr-ctr.json"
}
}