qMSK

JSON twin: https://www.healthaidb.com/software/qmsk.json

Company Name

Qure.ai

Product URL

https://www.qure.ai/product/qmsk

Company URL

https://www.qure.ai/

Categories

• clinical Care
• diagnostic Support
• radiology
• imaging Software
• clinical Workflow Optimization
• Clinical
• Diagnostic
• Image Analysis
• Workflow Optimization

Summary

qMSK is an AI-powered software developed by Qure.ai that assists in the detection and analysis of musculoskeletal (MSK) fractures in X-ray images, enhancing diagnostic accuracy and workflow efficiency.

Description

qMSK utilizes deep learning algorithms to analyze X-ray images of 15 anatomical regions, identifying signs of fractures and providing visual aids such as bounding boxes to highlight suspected areas. It processes scans in under 20 seconds and can be deployed on cloud or on-premises, supporting all major CR, DR, and ultraportable X-ray systems. The software is CE Class IIb certified under the European Union Medical Device Regulation (EU MDR).

Api Available

yes

Certifications

• CE 0123

Company Founding

2016

Company Offices

• India
• United States

Compliance

• ISO/IEC 27001
• CE Class IIb MDR

Customers

• Boston Consulting Group, India

Data Residency

EU-only, US/EU regions, BYO cloud region

Data Standards

• DICOM

Deployment Model

• cloud
• on_premises

Features

• AI-powered detection of fractures in musculoskeletal X-rays
• Bounding boxes highlighting suspected fracture sites
• Pre-read assistance with visual aids
• Worklist prioritization and auto filters for valid body parts
• Processing time under 20 seconds per scan
• Support for over 15 anatomical regions
• Compatibility with all major CR, DR, and ultraportable X-ray systems
• Sensitivity greater than 90% for fracture detection
• Multiple view analysis to reduce diagnostic errors
• Fracture healing progress tracking

Id

SW0746

Integration Partners

• Google Cloud
• AWS
• Microsoft Azure

Integrations

• PACS
• RIS
• AI marketplace platforms

Languages Supported

• English

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb

Optional Modules

• Advanced reporting features
• Integration with hospital information systems

Os Platforms

• Web

Pricing Details

contact vendor

Pricing Model

subscription

Privacy Features

• Transparent user privacy policies
• Data anonymization capabilities
• Compliance with GDPR and other privacy regulations

Product Code

SW0746

Product Name

qMSK

Ratings

• 5.0 out of 5 stars (G2)

Regions Available

• global

Related Urls

• https://healthairegister.com/radiology/products/qureai-qmsk

Release Year

2016

Security Features

• Data encryption at rest and in transit
• Role-based access control (RBAC)
• Secure cloud servers with Amazon Web Services and Azure Cloud
• Protected data communication via encrypted APIs
• License managers for user authentication
• Regular cybersecurity audits

Specialties

• Orthopedics
• Emergency Medicine
• Radiology

Support Channels

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

System Requirements

Dedicated hardware or virtualized environments for on-premises deployment; cloud infrastructure for cloud deployment

Target Users

• radiologists
• emergency department staff
• teleradiologists
• 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": "qMSK",
  "company_name": "Qure.ai",
  "product_url": "https://www.qure.ai/product/qmsk",
  "company_url": "https://www.qure.ai/",
  "related_urls": [
    "https://healthairegister.com/radiology/products/qureai-qmsk"
  ],
  "product_code": "SW0746",
  "summary": "qMSK is an AI-powered software developed by Qure.ai that assists in the detection and analysis of musculoskeletal (MSK) fractures in X-ray images, enhancing diagnostic accuracy and workflow efficiency.",
  "description": "qMSK utilizes deep learning algorithms to analyze X-ray images of 15 anatomical regions, identifying signs of fractures and providing visual aids such as bounding boxes to highlight suspected areas. It processes scans in under 20 seconds and can be deployed on cloud or on-premises, supporting all major CR, DR, and ultraportable X-ray systems. The software is CE Class IIb certified under the European Union Medical Device Regulation (EU MDR).",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "radiology",
    "imaging Software",
    "clinical Workflow Optimization",
    "Clinical",
    "Diagnostic",
    "Radiology",
    "Image Analysis",
    "Workflow Optimization"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "radiologists",
    "emergency department staff",
    "teleradiologists",
    "clinicians"
  ],
  "specialties": [
    "Orthopedics",
    "Emergency Medicine",
    "Radiology"
  ],
  "regions_available": [
    "global"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "subscription",
  "pricing_details": "contact vendor",
  "license": "commercial",
  "company_offices": [
    "India",
    "United States"
  ],
  "company_founding": "2016",
  "deployment_model": [
    "cloud",
    "on_premises"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "AI-powered detection of fractures in musculoskeletal X-rays",
    "Bounding boxes highlighting suspected fracture sites",
    "Pre-read assistance with visual aids",
    "Worklist prioritization and auto filters for valid body parts",
    "Processing time under 20 seconds per scan",
    "Support for over 15 anatomical regions",
    "Compatibility with all major CR, DR, and ultraportable X-ray systems",
    "Sensitivity greater than 90% for fracture detection",
    "Multiple view analysis to reduce diagnostic errors",
    "Fracture healing progress tracking"
  ],
  "optional_modules": [
    "Advanced reporting features",
    "Integration with hospital information systems"
  ],
  "integrations": [
    "PACS",
    "RIS",
    "AI marketplace platforms"
  ],
  "data_standards": [
    "DICOM"
  ],
  "api_available": "yes",
  "system_requirements": "Dedicated hardware or virtualized environments for on-premises deployment; cloud infrastructure for cloud deployment",
  "compliance": [
    "ISO/IEC 27001",
    "CE Class IIb MDR"
  ],
  "certifications": [
    "CE 0123"
  ],
  "security_features": [
    "Data encryption at rest and in transit",
    "Role-based access control (RBAC)",
    "Secure cloud servers with Amazon Web Services and Azure Cloud",
    "Protected data communication via encrypted APIs",
    "License managers for user authentication",
    "Regular cybersecurity audits"
  ],
  "privacy_features": [
    "Transparent user privacy policies",
    "Data anonymization capabilities",
    "Compliance with GDPR and other privacy regulations"
  ],
  "data_residency": "EU-only, US/EU regions, BYO cloud region",
  "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 (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": "SW0746",
  "slug": "qmsk",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/qmsk.json"
  }
}