Vendor source

Reviewed 11 May 2026

Completeness Strong (64%)

JBS-01K

JLK Inc.

JBS-01K is an AI medical system that diagnoses a subtype of ischemic stroke using patient's MR image and atrial fibrillation (AF) information. This system performs lesion detection and TOAST (Trial of ORG 10172 in Acute Stroke Treatment) classification of ischemic stroke using 3D hybrid artificial neural networks. JBS-01K provides classification probabilities by analyzing input MR images of 4 sequences (DWI, FLAIR, T1, T2) and clinical information data.

Supported by 1 paper

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Key Features

  • Ischemic stroke subclassification

General Information

Product name

JBS-01K

Company

Modality

MR

Main task

Not specified

Subspeciality

Neuro

Disease targeted

Stroke

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class I

Verified by Health AI Register

Other certifications

Not specified

Technical Specifications

Patient population age

Not specified

Input

DWI: compulsory, Fluid attenuated inversion recovery (FLAIR), T1-weighted image, T2-weighted image

Input format

DICOM, JPG

Output

Heatmap overlay, probability of stroke subtype

Output format

Not specified

Integration

Stand-alone third party application, Stand-alone webbased

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware

Trigger for analysis

On demand, triggered by a user through e.g. a button click, image upload

Processing time

< 10 seconds

Population

all brain MR

Market Presence

On market since

04-2019

AI Platforms

Resellers

Not specified

Countries present

4

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of installations, Number of users

Source: Vendor | First published: Jul 1, 2020 | Last updated: May 11, 2026