JSON twin: https://www.healthaidb.com/software/qmsk-038943.json
Qure.ai
https://www.qure.ai/product/qmsk
qMSK is Qure.ai's AI assistant for musculoskeletal (MSK) X‑rays that detects fractures and dislocations across multiple anatomies and views, providing pre‑read aid and rapid (<20s) processing to prioritise worklists.
qMSK analyses MSK X‑rays (15+ anatomies) to detect bone fractures, joint dislocations and signs of healing; provides bounding‑box visual aids, multi‑view support, worklist prioritisation, cloud or on‑prem deployment, and integration via Qure App for AI‑powered reporting. The product is CE‑marked and marketed for clinical/ED and teleradiology use.
yes
2016
P2071
2025-09-07
commercial proprietary
Contact vendor for pricing, deployment and trial/demo information.
enterprise_quote
product
1.0
{
"company_name": "Qure.ai",
"company_url": "https://www.qure.ai",
"company_offices": [
"India",
"United Kingdom",
"United States",
"United Arab Emirates"
],
"company_founding": "2016",
"product_url": "https://www.qure.ai/product/qmsk",
"categories": [
"radiology",
"diagnostic",
"imaging",
"clinical",
"AI/ML"
],
"market_segment": [
"enterprise",
"provider",
"smb"
],
"links": [
"https://www.qure.ai/product/qmsk",
"https://www.qure.ai",
"https://www.qure.ai/contact-us",
"https://www.qure.ai/regulatory-and-privacy",
"https://app.qure.ai",
"https://healthairegister.com/radiology/products/qureai-qmsk",
"https://www.g2.com/products/qure-ai-2022-07-05/reviews",
"https://www.reuters.com/business/healthcare-pharmaceuticals/indian-healthcare-ai-startup-qureai-aiming-ipo-two-years-ceo-says-2025-05-20/"
],
"summary": "qMSK is Qure.ai's AI assistant for musculoskeletal (MSK) X‑rays that detects fractures and dislocations across multiple anatomies and views, providing pre‑read aid and rapid (<20s) processing to prioritise worklists.",
"description": "qMSK analyses MSK X‑rays (15+ anatomies) to detect bone fractures, joint dislocations and signs of healing; provides bounding‑box visual aids, multi‑view support, worklist prioritisation, cloud or on‑prem deployment, and integration via Qure App for AI‑powered reporting. The product is CE‑marked and marketed for clinical/ED and teleradiology use.",
"target_users": [
"radiologists",
"emergency physicians",
"orthopaedic clinicians",
"teleradiology providers",
"radiography technicians",
"imaging department administrators",
"hospital IT/clinical informatics"
],
"specialties": [
"musculoskeletal radiology",
"trauma",
"orthopaedics",
"emergency medicine",
"general radiology"
],
"regions_available": [
"Global",
"India",
"United States",
"United Kingdom",
"European Union"
],
"languages_supported": [
"English"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Contact vendor for pricing, deployment and trial/demo information.",
"license": "commercial proprietary",
"deployment_model": [
"cloud (SaaS)",
"on_prem"
],
"os_platforms": [
"Web",
"Windows",
"macOS",
"iOS",
"Android"
],
"features": [
"Pre-read assistance with bounding boxes for suspected fractures",
"Worklist prioritisation and auto-filters by body part",
"Supports 15+ anatomies and multiple views",
"Processing time <20 seconds per study",
"Detects fractures and joint dislocations; highlights findings on X-rays",
"Ability to detect multiple/subtle fractures (reduces satisfaction-of-search bias)",
"Track fracture healing / follow-up comparison",
"DICOM viewer and basic measurement tools",
"AI-powered reporting and report templates",
"Study/studies filters and saveable worklist filters",
"Share patient files / automated sharing",
"Support for CR/DR/ultraportable X-ray modalities",
"Integration with Qure.ai App for collaboration and reporting"
],
"optional_modules": [
"On-premises gateway for local deployment",
"Qure.ai App viewer (desktop/mobile) add-on",
"Worklist/workspace management configuration"
],
"integrations": [
"PACS (DICOM-based integrations)",
"Modalities: CR/DR/X-ray systems",
"Qure.ai App (app.qure.ai)",
"AWS (partner/hosting)"
],
"data_standards": [
"DICOM",
"REST API"
],
"api_available": "yes",
"system_requirements": "",
"compliance": [
"HIPAA",
"GDPR",
"CE (0123)"
],
"certifications": [
"CE 0123"
],
"security_features": [
"Encryption in transit & at rest",
"Role-based access control (RBAC)",
"SSO/SAML support",
"Audit logs"
],
"privacy_features": [
"HIPAA compliance / BAA available",
"GDPR compliance"
],
"data_residency": "",
"customers": [
"Caritas Klinikum Saarbrücken",
"NHS (England)"
],
"user_reviews": [],
"ratings": [
"NICE – listed in guidance as a commercially available AI technology for fracture detection (mentions qMSK)"
],
"support_channels": [
"email",
"phone",
"chat",
"ticketing",
"community"
],
"training_options": [
"documentation",
"webinars",
"live_online",
"onsite"
],
"release_year": "",
"integration_partners": [
"AWS",
"India Health Fund",
"Caritas Klinikum Saarbrücken",
"PACS vendors",
"CR/DR X-ray vendors",
"app.qure.ai",
"AstraZeneca"
],
"id": "P2071",
"slug": "qmsk-038943",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/qmsk-038943.json"
}
}