dr-ai-assisted-bone-fracture-detection

JSON twin: https://www.healthaidb.com/software/dr-ai-assisted-bone-fracture-detection.json

Company Name

Huiying Medical Technology

Product URL

https://healthairegister.com/products/hy-medical-dr-bone-fracture

Company URL

https://www.huiyihuiying.com/en/

Categories

Summary

AI tool by HY Medical that detects and localizes extremity bone fractures on 2D X‑ray (DICOM) and returns annotated images within seconds for integration into radiology workflows.

Description

DR AI-assisted Bone Fracture Detection analyzes plain radiographs (2D X‑ray) to detect and localize fractures in hands, feet, wrist, shoulder, hip, ankle, femur, pelvis, ulna, radius, tibia and fibula. Outputs DICOM images with bounding‑box annotations; integrates with PACS/RIS, AI marketplaces or runs stand‑alone; deployable cloud or locally. Processing time 3–10 seconds. CE marked (MDD, Class IIa).

Api Available

unknown

Certifications

Company Founding

Company Offices

Compliance

Customers

Data Residency

Data Standards

Deployment Model

Features

Id

P1991

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

proprietary, commercial

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

Subscription; pricing based on number of analyses and number of installations — contact vendor for pricing.

Pricing Model

subscription

Privacy Features

Ratings

Regions Available

—

Release Year

2020

Security Features

Specialties

Support Channels

System Requirements

Docker/virtual machine or dedicated hardware; DICOM connectivity to PACS; web server for stand‑alone deployment

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "Huiying Medical Technology",
  "company_url": "https://www.huiyihuiying.com/en/",
  "company_offices": [
    "China"
  ],
  "company_founding": "",
  "product_url": "https://healthairegister.com/products/hy-medical-dr-bone-fracture",
  "categories": [
    "clinical",
    "diagnostic",
    "radiology",
    "imaging",
    "musculoskeletal"
  ],
  "market_segment": [
    "enterprise"
  ],
  "links": [
    "https://www.huiyihuiying.com/en/",
    "https://healthairegister.com/products/hy-medical-dr-bone-fracture",
    "https://www.deepc.ai/news/deepc-partners-with-huiying-medical-technology",
    "https://www.huiyihuiying.com/en/gsgk.html",
    "https://www.linkedin.com/company/huiyihuiying",
    "https://www.intel.com/content/www/us/en/internet-of-things/ai-in-production/partners/huiying-medical-technology.html"
  ],
  "summary": "AI tool by HY Medical that detects and localizes extremity bone fractures on 2D X‑ray (DICOM) and returns annotated images within seconds for integration into radiology workflows.",
  "description": "DR AI-assisted Bone Fracture Detection analyzes plain radiographs (2D X‑ray) to detect and localize fractures in hands, feet, wrist, shoulder, hip, ankle, femur, pelvis, ulna, radius, tibia and fibula. Outputs DICOM images with bounding‑box annotations; integrates with PACS/RIS, AI marketplaces or runs stand‑alone; deployable cloud or locally. Processing time 3–10 seconds. CE marked (MDD, Class IIa).",
  "target_users": [
    "radiologists",
    "clinicians",
    "radiology technicians",
    "PACS administrators"
  ],
  "specialties": [
    "musculoskeletal (MSK)",
    "radiology"
  ],
  "regions_available": [],
  "languages_supported": [],
  "pricing_model": "subscription",
  "pricing_details": "Subscription; pricing based on number of analyses and number of installations — contact vendor for pricing.",
  "license": "proprietary, commercial",
  "deployment_model": [
    "cloud-based",
    "locally on dedicated hardware",
    "locally virtualized (VM/Docker)"
  ],
  "os_platforms": [
    "Web",
    "Linux (VM/Docker)",
    "Windows (VM)"
  ],
  "features": [
    "Fracture detection and localization (bounding box annotations)",
    "Supports extremity X‑rays: hands, feet, wrist, shoulder, hip, ankle, femur, pelvis, ulna, radius, tibia, fibula",
    "Input: 2D X‑ray (DICOM)",
    "Output: annotated DICOM with fracture localization",
    "Automatic trigger post‑acquisition",
    "Processing time 3–10 seconds",
    "PACS integration for reading workflow",
    "RIS integration",
    "Integration via AI marketplace/distribution platforms",
    "Stand‑alone web‑based viewer"
  ],
  "optional_modules": [],
  "integrations": [
    "PACS",
    "RIS",
    "AI marketplace / distribution platforms",
    "Deepc (AI platform)"
  ],
  "data_standards": [
    "DICOM",
    "HL7 v2"
  ],
  "api_available": "unknown",
  "system_requirements": "Docker/virtual machine or dedicated hardware; DICOM connectivity to PACS; web server for stand‑alone deployment",
  "compliance": [
    "CE (MDD) Class IIa"
  ],
  "certifications": [
    "CE (MDD) Class IIa"
  ],
  "security_features": [],
  "privacy_features": [],
  "data_residency": "",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [
    "email"
  ],
  "training_options": [
    "documentation",
    "webinars"
  ],
  "release_year": "2020",
  "integration_partners": [
    "deepc / deepcOS",
    "PACS (standard reading environment)",
    "RIS (Radiology Information System)",
    "AI marketplaces / distribution platforms"
  ],
  "id": "P1991",
  "slug": "dr-ai-assisted-bone-fracture-detection",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/dr-ai-assisted-bone-fracture-detection.json"
  }
}