AZtrauma
JSON twin: https://www.healthaidb.com/software/aztrauma.json
Company Name
AZmed
Product URL
https://www.azmed.co/azproducts-pages/aztrauma
Company URL
https://www.azmed.co
Categories
Summary
AZtrauma is an AI-powered radiology solution by AZmed that detects fractures, dislocations, and joint effusions in X-ray images, enhancing diagnostic accuracy and workflow efficiency.
Description
AZtrauma is an AI-driven radiology tool developed by AZmed to identify bone fractures, dislocations, and joint effusions in X-ray images. It integrates seamlessly into existing radiology workflows, providing automated analysis that aids clinicians in rapid and accurate diagnoses. The solution has been clinically validated across multiple institutions worldwide, demonstrating significant improvements in diagnostic accuracy and efficiency. AZtrauma is CE-certified and FDA-cleared, ensuring compliance with international medical device regulations. It is part of AZmed's Rayvolve® suite, which includes other AI solutions like AZchest, AZmeasure, and AZboneage, collectively enhancing radiological diagnostics and patient care.
Api Available
unknown
Certifications
Company Founding
2018
Company Offices
Compliance
Customers
Data Residency
US and EU regions
Data Standards
Deployment Model
Features
- Fracture detection
- Dislocation detection
- Joint effusion detection
- Upper limb analysis
- Spine analysis
- Rib cage analysis
- Pelvis analysis
- Lower limb analysis
- Clinical validation
- Workflow integration
- False negative reduction
- Turnaround time reduction
- Improved diagnostic accuracy
Id
SW0659
Integration Partners
Integrations
- PACS systems
- Nexus-MD platform
- Epic
- Cerner
- Athena
Languages Supported
- English
- French
- German
- Spanish
- Italian
- Portuguese
- Dutch
- Chinese
- Japanese
- Korean
- Arabic
- Russian
- Hindi
- Bengali
- Punjabi
- Urdu
- Turkish
- Vietnamese
- Polish
- Ukrainian
Last Updated
2025-10-11
License
Commercial
Market Segment
Optional Modules
- AZchest
- AZmeasure
- AZboneage
Os Platforms
Pricing Details
Contact vendor for pricing information.
Pricing Model
Subscription
Privacy Features
- Data anonymization
- Data minimization
- Compliance with healthcare regulations
Product Code
SW0659
Product Name
AZtrauma
Ratings
Regions Available
Related Urls
Release Year
2018
Security Features
- Data encryption
- Role-based access control
- Audit logs
- Secure image exchange
Specialties
Support Channels
System Requirements
Target Users
- Clinicians
- Radiologists
- Emergency Physicians
- Orthopedic Surgeons
Training Options
Type
product
User Reviews
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "AZtrauma",
"company_name": "AZmed",
"product_url": "https://www.azmed.co/azproducts-pages/aztrauma",
"company_url": "https://www.azmed.co",
"related_urls": [
"https://healthairegister.com/radiology/products/azmed-rayvolve"
],
"product_code": "SW0659",
"summary": "AZtrauma is an AI-powered radiology solution by AZmed that detects fractures, dislocations, and joint effusions in X-ray images, enhancing diagnostic accuracy and workflow efficiency.",
"description": "AZtrauma is an AI-driven radiology tool developed by AZmed to identify bone fractures, dislocations, and joint effusions in X-ray images. It integrates seamlessly into existing radiology workflows, providing automated analysis that aids clinicians in rapid and accurate diagnoses. The solution has been clinically validated across multiple institutions worldwide, demonstrating significant improvements in diagnostic accuracy and efficiency. AZtrauma is CE-certified and FDA-cleared, ensuring compliance with international medical device regulations. It is part of AZmed's Rayvolve® suite, which includes other AI solutions like AZchest, AZmeasure, and AZboneage, collectively enhancing radiological diagnostics and patient care.",
"categories": [
"clinical Care",
"diagnostic Support",
"radiology",
"imaging Software",
"Clinical",
"Diagnostic",
"Radiology",
"Ai-powered Imaging"
],
"market_segment": [
"Enterprise",
"SMB"
],
"target_users": [
"Clinicians",
"Radiologists",
"Emergency Physicians",
"Orthopedic Surgeons"
],
"specialties": [
"Musculoskeletal Radiology",
"Emergency Medicine",
"Orthopedics"
],
"regions_available": [
"United States",
"Europe",
"Canada",
"Australia",
"Asia",
"South America",
"Africa"
],
"languages_supported": [
"English",
"French",
"German",
"Spanish",
"Italian",
"Portuguese",
"Dutch",
"Chinese",
"Japanese",
"Korean",
"Arabic",
"Russian",
"Hindi",
"Bengali",
"Punjabi",
"Urdu",
"Turkish",
"Vietnamese",
"Polish",
"Ukrainian"
],
"pricing_model": "Subscription",
"pricing_details": "Contact vendor for pricing information.",
"license": "Commercial",
"company_offices": [
"France",
"United States",
"Canada",
"Germany",
"United Kingdom",
"Italy",
"Spain",
"Netherlands",
"China",
"Japan"
],
"company_founding": "2018",
"deployment_model": [
"SaaS"
],
"os_platforms": [
"Web"
],
"features": [
"Fracture detection",
"Dislocation detection",
"Joint effusion detection",
"Upper limb analysis",
"Spine analysis",
"Rib cage analysis",
"Pelvis analysis",
"Lower limb analysis",
"Clinical validation",
"Workflow integration",
"False negative reduction",
"Turnaround time reduction",
"Improved diagnostic accuracy"
],
"optional_modules": [
"AZchest",
"AZmeasure",
"AZboneage"
],
"integrations": [
"PACS systems",
"Nexus-MD platform",
"Epic",
"Cerner",
"Athena"
],
"data_standards": [
"DICOM",
"HL7",
"FHIR"
],
"api_available": "unknown",
"system_requirements": "",
"compliance": [
"FDA 510(k)",
"CE Mark",
"MDSAP"
],
"certifications": [
"FDA 510(k)",
"CE Mark",
"MDSAP"
],
"security_features": [
"Data encryption",
"Role-based access control",
"Audit logs",
"Secure image exchange"
],
"privacy_features": [
"Data anonymization",
"Data minimization",
"Compliance with healthcare regulations"
],
"data_residency": "US and EU regions",
"customers": [],
"user_reviews": [],
"ratings": [],
"support_channels": [],
"training_options": [],
"release_year": "2018",
"integration_partners": [],
"id": "SW0659",
"slug": "aztrauma",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/aztrauma.json"
}
}