JBD - 01K

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

Company Name

JLK

Product URL

https://www.jlk.com/products/jbd-01k

Company URL

https://www.jlk.com

Categories

• clinical Care
• diagnostic Support
• imaging Software
• radiology
• oncology Care
• clinical Decision Support
• ai Clinical Documentation Integrity
• Clinical
• Diagnostic
• Imaging
• Breast Cancer Detection
• Decision Support
• Ai-assisted

Summary

JBD-01K is an AI-driven software that analyzes 2D mammography images to detect and localize breast masses and microcalcifications, generating comprehensive reports to assist radiologists in diagnosis.

Description

JBD-01K, developed by JLK Inc., is an artificial intelligence-based diagnostic tool designed to enhance breast cancer detection. It processes 2D mammography images in DICOM or JPG formats, identifying and localizing breast masses and microcalcifications. The software provides location annotations, probability scores, and generates structured PDF reports. It integrates seamlessly with Picture Archiving and Communication Systems (PACS) and can be deployed in cloud, hybrid, or on-premises environments. The processing time for each image is approximately 3–10 seconds. JBD-01K has been CE marked (MDD Class I) and has been marketed since January 2020. It also holds KFDA/MFDS medical device registration. The software supports DICOM and HL7 v2 data standards and offers an API for integration. It is compatible with Linux (server), Windows (client), and web-based platforms. The pricing model is subscription-based, with costs depending on the number of installations and users; interested parties are advised to contact the vendor for detailed pricing information. The license terms are proprietary. JLK Inc. was founded in 2014 and has offices in South Korea, Japan, and the United States.

Api Available

yes

Certifications

• CE mark
• KFDA / MFDS medical device registration

Company Founding

2014

Company Offices

• South Korea
• Japan
• United States

Compliance

• CE (MDD Class I)
• KFDA/MFDS

Customers

Data Residency

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

Data Standards

• DICOM
• HL7 v2

Deployment Model

• on_prem
• cloud
• hybrid

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

Id

SW0716

Integration Partners

Integrations

• PACS (generic DICOM PACS systems)
• Radiology viewers/diagnostic workstations
• Hospital RIS (via HL7 interfaces)
• Vendor SDK for custom integrations

Languages Supported

• Korean
• English
• Japanese
• Thai
• Vietnamese
• Indonesian
• Turkish
• New Zealand English
• Australian English
• European languages

Last Updated

2025-10-11

License

proprietary

Market Segment

• enterprise
• hospital

Optional Modules

• SDK for integration
• PACS connector / DICOM gateway
• Advanced reporting templates

Os Platforms

• Linux
• Windows
• Web

Pricing Details

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

Pricing Model

subscription

Privacy Features

• Support for de-identification/anonymization of DICOM exports
• Customer data segregation via on-prem or dedicated deployment

Product Code

SW0716

Product Name

JBD - 01K

Ratings

Regions Available

• South Korea
• Japan
• United States
• Thailand
• Vietnam
• Indonesia
• Turkey
• New Zealand
• Australia
• Europe

Related Urls

• https://healthairegister.com/radiology/products/jlk-inc-jbd-01k

Release Year

Security Features

• TLS encryption in transit
• Role-based access control (RBAC)
• Audit logging
• User authentication

Specialties

• Breast
• Mammography

Support Channels

System Requirements

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

Target Users

• radiologists
• clinicians
• radiology technicians
• PACS administrators

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "JBD - 01K",
  "company_name": "JLK",
  "product_url": "https://www.jlk.com/products/jbd-01k",
  "company_url": "https://www.jlk.com",
  "related_urls": [
    "https://healthairegister.com/radiology/products/jlk-inc-jbd-01k"
  ],
  "product_code": "SW0716",
  "summary": "JBD-01K is an AI-driven software that analyzes 2D mammography images to detect and localize breast masses and microcalcifications, generating comprehensive reports to assist radiologists in diagnosis.",
  "description": "JBD-01K, developed by JLK Inc., is an artificial intelligence-based diagnostic tool designed to enhance breast cancer detection. It processes 2D mammography images in DICOM or JPG formats, identifying and localizing breast masses and microcalcifications. The software provides location annotations, probability scores, and generates structured PDF reports. It integrates seamlessly with Picture Archiving and Communication Systems (PACS) and can be deployed in cloud, hybrid, or on-premises environments. The processing time for each image is approximately 3–10 seconds. JBD-01K has been CE marked (MDD Class I) and has been marketed since January 2020. It also holds KFDA/MFDS medical device registration. The software supports DICOM and HL7 v2 data standards and offers an API for integration. It is compatible with Linux (server), Windows (client), and web-based platforms. The pricing model is subscription-based, with costs depending on the number of installations and users; interested parties are advised to contact the vendor for detailed pricing information. The license terms are proprietary. JLK Inc. was founded in 2014 and has offices in South Korea, Japan, and the United States.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "imaging Software",
    "radiology",
    "oncology Care",
    "imaging Software",
    "clinical Decision Support",
    "ai Clinical Documentation Integrity",
    "clinical Decision Support",
    "Clinical",
    "Diagnostic",
    "Imaging",
    "Radiology",
    "Breast Cancer Detection",
    "Decision Support",
    "Ai-assisted"
  ],
  "market_segment": [
    "enterprise",
    "hospital"
  ],
  "target_users": [
    "radiologists",
    "clinicians",
    "radiology technicians",
    "PACS administrators"
  ],
  "specialties": [
    "Breast",
    "Mammography"
  ],
  "regions_available": [
    "South Korea",
    "Japan",
    "United States",
    "Thailand",
    "Vietnam",
    "Indonesia",
    "Turkey",
    "New Zealand",
    "Australia",
    "Europe"
  ],
  "languages_supported": [
    "Korean",
    "English",
    "Japanese",
    "Thai",
    "Vietnamese",
    "Indonesian",
    "Turkish",
    "New Zealand English",
    "Australian English",
    "European languages"
  ],
  "pricing_model": "subscription",
  "pricing_details": "Subscription model; pricing based on number of installations and number of users — contact vendor",
  "license": "proprietary",
  "company_offices": [
    "South Korea",
    "Japan",
    "United States"
  ],
  "company_founding": "2014",
  "deployment_model": [
    "on_prem",
    "cloud",
    "hybrid"
  ],
  "os_platforms": [
    "Linux",
    "Windows",
    "Web"
  ],
  "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 Class I)",
    "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": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW0716",
  "slug": "jbd-01k",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/jbd-01k.json"
  }
}