jbd-01k

JSON twin: https://www.healthaidb.com/software/jbd-01k.json

Company Name

JLK

Product URL

https://jlkgroup.com/static/pdf/en/JBD-01K_eng.pdf

Company URL

https://jlkgroup.com

Categories

Summary

AI software that analyzes 2D mammography DICOM/JPG images to detect and localize breast masses and microcalcifications and generate reports.

Description

JBD-01K (JLK Inc.) is a mammography-focused AI tool that processes 2D mammography images (DICOM, JPG), performs breast mass and microcalcification detection, provides location annotations and probability scores, and produces a PDF report and UI output. It integrates with PACS, can be deployed cloud/hybrid/on-premises, and processes images in ~3–10 seconds. CE marked (MDD Class I) and marketed since 01-2020.

Api Available

yes

Certifications

Company Founding

2014

Company Offices

Compliance

Customers

Data Residency

Customer-hosted (on-prem) or vendor-managed cloud options; region selectable by deployment

Data Standards

Deployment Model

Features

Id

P2082

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

Subscription model; pricing based on number of installations and number of users — contact vendor

Pricing Model

subscription

Privacy Features

Ratings

Regions Available

—

Release Year

2020

Security Features

Specialties

Support Channels

System Requirements

Server with GPU support (Linux recommended); DICOM network connectivity; SDK for client integration

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "JLK",
  "company_url": "https://jlkgroup.com",
  "company_offices": [
    "Republic of Korea",
    "United States",
    "Japan"
  ],
  "company_founding": "2014",
  "product_url": "https://jlkgroup.com/static/pdf/en/JBD-01K_eng.pdf",
  "categories": [
    "clinical",
    "diagnostic",
    "imaging",
    "radiology",
    "breast cancer detection",
    "decision support",
    "AI-assisted"
  ],
  "market_segment": [
    "enterprise",
    "hospital"
  ],
  "links": [
    "https://jlkgroup.com",
    "https://jlkgroup.com/en/medihub_products/",
    "https://jlkgroup.com/static/pdf/en/JBD-01K_eng.pdf",
    "https://jlkgroup.com/static/pdf/en/JBD-Series_eng.pdf",
    "https://radiology.healthairegister.com/products/?subspeciality=Breast&modality=All&ce_under=All&ce_class=All&fda_class=No%20FDA&sort_by=a-z%20product&search=",
    "https://healthairegister.com/companies/jlk-inc",
    "https://s3-eu-west-2.amazonaws.com/signifyresearch/app/uploads/2021/04/01174802/AI_Regulatory_Database_April2021.xlsx",
    "https://kind.krx.co.kr/common/disclsviewer.do?method=searchInitInfo&acptNo=20240729000807"
  ],
  "summary": "AI software that analyzes 2D mammography DICOM/JPG images to detect and localize breast masses and microcalcifications and generate reports.",
  "description": "JBD-01K (JLK Inc.) is a mammography-focused AI tool that processes 2D mammography images (DICOM, JPG), performs breast mass and microcalcification detection, provides location annotations and probability scores, and produces a PDF report and UI output. It integrates with PACS, can be deployed cloud/hybrid/on-premises, and processes images in ~3–10 seconds. CE marked (MDD Class I) and marketed since 01-2020.",
  "target_users": [
    "radiologists",
    "clinicians",
    "radiology technicians",
    "PACS administrators"
  ],
  "specialties": [
    "breast",
    "mammography"
  ],
  "regions_available": [],
  "languages_supported": [],
  "pricing_model": "subscription",
  "pricing_details": "Subscription model; pricing based on number of installations and number of users — contact vendor",
  "license": "",
  "deployment_model": [
    "on_prem",
    "SDK/integration",
    "cloud (vendor-managed)"
  ],
  "os_platforms": [
    "Linux (server)",
    "Windows (client)",
    "Web (browser-based PACS integration)"
  ],
  "features": [
    "AI detection of breast masses on mammography",
    "AI detection of microcalcifications",
    "Lesion localization and bounding boxes",
    "Heatmap / confidence overlay",
    "Prioritization/triage flags for reads",
    "DICOM RT/annotation export",
    "Integration with PACS/diagnostic viewers",
    "Batch processing of mammography studies",
    "Measurement tools (lesion size)",
    "Structured output for reporting"
  ],
  "optional_modules": [
    "SDK for integration",
    "PACS connector / DICOM gateway",
    "Advanced reporting templates"
  ],
  "integrations": [
    "PACS (generic DICOM PACS systems)",
    "Radiology viewers/diagnostic workstations",
    "Hospital RIS (via HL7 interfaces)",
    "Vendor SDK for custom integrations"
  ],
  "data_standards": [
    "DICOM",
    "HL7 v2"
  ],
  "api_available": "yes",
  "system_requirements": "Server with GPU support (Linux recommended); DICOM network connectivity; SDK for client integration",
  "compliance": [
    "CE (MDD/MDR)",
    "KFDA/MFDS"
  ],
  "certifications": [
    "CE mark",
    "KFDA / MFDS medical device registration"
  ],
  "security_features": [
    "TLS encryption in transit",
    "Role-based access control (RBAC)",
    "Audit logging",
    "User authentication"
  ],
  "privacy_features": [
    "Support for de-identification/anonymization of DICOM exports",
    "Customer data segregation via on-prem or dedicated deployment"
  ],
  "data_residency": "Customer-hosted (on-prem) or vendor-managed cloud options; region selectable by deployment",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [
    "email",
    "phone"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online"
  ],
  "release_year": "2020",
  "integration_partners": [],
  "id": "P2082",
  "slug": "jbd-01k",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/jbd-01k.json"
  }
}