jld-01k

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

Company Name

JLK

Product URL

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

Company URL

https://jlkgroup.com/

Categories

Summary

AI software that detects, measures and tracks pulmonary nodules on chest CT, provides LungRADS categorization, quantitative measurements and visual 2D/3D review.

Description

JLD-01K (JLK Inc.) is a CNN-based medical imaging AI for pulmonary CT that detects lung nodules, measures diameter and volume, counts nodules, assigns LungRADS category, generates reports and provides 2D/3D visualisations and risk estimates (Vancouver Risk calculator). It is offered as a clinical decision support tool integrated with imaging workflows and is CE-marked.

Api Available

unknown

Certifications

Company Founding

2014

Company Offices

Compliance

Customers

Data Residency

Data Standards

Deployment Model

Features

Id

P2083

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

commercial proprietary

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor for licensing, deployment and support pricing; trial/POC availability: contact vendor.

Pricing Model

enterprise_quote

Privacy Features

Ratings

Regions Available

Release Year

2019

Security Features

Specialties

Support Channels

System Requirements

Accepts DICOM input; deployable cloud-based, hybrid, or on dedicated local hardware

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "JLK",
  "company_url": "https://jlkgroup.com/",
  "company_offices": [
    "South Korea",
    "United States",
    "Japan"
  ],
  "company_founding": "2014",
  "product_url": "https://jlkgroup.com/static/pdf/en/JLD-01K_eng.pdf",
  "categories": [
    "clinical",
    "diagnostic",
    "imaging",
    "radiology",
    "AI"
  ],
  "market_segment": [
    "enterprise",
    "hospital",
    "smb"
  ],
  "links": [
    "https://jlkgroup.com/static/pdf/en/JLD-01K_eng.pdf",
    "https://jlkgroup.com/en/medihub_products/",
    "https://www.ismi.ie/medical-solutions/it-and-ai-solutions/lung-jld-01k.html",
    "https://healthairegister.com/companies/jlk-inc",
    "https://pmc.ncbi.nlm.nih.gov/articles/PMC9954317/",
    "https://www.nice.org.uk/guidance/dg55/documents/final-protocol",
    "https://s3-eu-west-2.amazonaws.com/signifyresearch/app/uploads/2021/04/01174802/AI_Regulatory_Database_April2021.xlsx"
  ],
  "summary": "AI software that detects, measures and tracks pulmonary nodules on chest CT, provides LungRADS categorization, quantitative measurements and visual 2D/3D review.",
  "description": "JLD-01K (JLK Inc.) is a CNN-based medical imaging AI for pulmonary CT that detects lung nodules, measures diameter and volume, counts nodules, assigns LungRADS category, generates reports and provides 2D/3D visualisations and risk estimates (Vancouver Risk calculator). It is offered as a clinical decision support tool integrated with imaging workflows and is CE-marked.",
  "target_users": [
    "radiologists",
    "pulmonologists",
    "thoracic surgeons",
    "radiology technologists",
    "PACS/IT administrators",
    "clinical administrators"
  ],
  "specialties": [
    "chest radiology",
    "thoracic radiology",
    "pulmonology",
    "oncology (lung cancer screening/diagnosis)"
  ],
  "regions_available": [
    "South Korea",
    "European Union"
  ],
  "languages_supported": [
    "Korean",
    "English"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for licensing, deployment and support pricing; trial/POC availability: contact vendor.",
  "license": "commercial proprietary",
  "deployment_model": [
    "cloud-based",
    "hybrid",
    "on-prem (dedicated hardware)"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Automated lung nodule detection in chest CT",
    "Nodule diameter and volume measurement",
    "Lung-RADS categorization",
    "Vancouver Risk Calculator",
    "2D axial/coronal/sagittal views",
    "3D lung and nodule visualization",
    "Report generation (UI, report output)",
    "Supports all chest CT input"
  ],
  "optional_modules": [],
  "integrations": [
    "Standalone / third-party application (PACS/RIS via DICOM workflows implied)",
    "DICOM image ingestion"
  ],
  "data_standards": [
    "DICOM",
    "JPG",
    "Lung-RADS"
  ],
  "api_available": "unknown",
  "system_requirements": "Accepts DICOM input; deployable cloud-based, hybrid, or on dedicated local hardware",
  "compliance": [
    "CE (MDD) Class I"
  ],
  "certifications": [
    "CE (MDD) Class I"
  ],
  "security_features": [],
  "privacy_features": [],
  "data_residency": "",
  "customers": [
    "Seoul National University Hospital",
    "Boramae Hospital",
    "National Cancer Center (Korea)",
    "Xi'an Jiaotong University First Affiliated Hospital",
    "Nanchang University First Hospital",
    "University of California San Francisco (UCSF)"
  ],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [
    "email",
    "phone"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite"
  ],
  "release_year": "2019",
  "integration_partners": [],
  "id": "P2083",
  "slug": "jld-01k",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/jld-01k.json"
  }
}