JLK - UIA

JSON twin: https://www.healthaidb.com/software/jlk-uia.json

Company Name

JLK

Product URL

https://www.jlkinc.com

Company URL

https://www.jlkinc.com

Categories

Summary

JLK Inc. offers AI-driven medical imaging solutions for various specialties, enhancing diagnostic accuracy and efficiency.

Description

JLK Inc. provides AI-based medical imaging systems across multiple specialties, including neuro, chest, and breast imaging. Their products utilize deep learning models to analyze medical images, aiding in the detection and classification of various conditions such as cerebral aneurysms, lung nodules, and breast tumors. These systems are designed to integrate with existing medical imaging workflows, offering features like lesion detection, quantification, and report generation. Deployment options include local hardware, cloud-based, and hybrid solutions, with processing times ranging from 3 to 60 seconds, depending on the application. Regulatory certifications vary by product, with some holding CE Class I MDD certification and others pending FDA approval. Pricing models typically involve pay-per-use or subscription plans based on the number of users or installations.

Api Available

unknown

Certifications

Company Founding

2014

Company Offices

Compliance

Customers

Data Residency

US/EU regions

Data Standards

Deployment Model

Features

Id

SW0721

Integration Partners

Integrations

Languages Supported

Last Updated

2025-10-11

License

commercial

Market Segment

Optional Modules

Os Platforms

Pricing Details

Pay-per-use, Subscription; based on number of users, number of installations

Pricing Model

subscription

Privacy Features

Product Code

SW0721

Product Name

JLK - UIA

Ratings

Regions Available

Related Urls

Release Year

Security Features

Specialties

Support Channels

System Requirements

DICOM-compatible imaging input; web browser for web-based deployment; dedicated hardware option for local deployment

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON