| Company Name | JLK Inc. |
| Founded | 2014 |
| Head office | Seoul, Korea |
| Website | http://www.jlkgroup.com/ |
| Contact | support@jlkgroup.com |
Products by JLK Inc.
Subspeciality: Neuro
Modality: MR
Source: Vendor
Brain aging status, Cortical area segmentation, Cortical thickness quantification, Normal comparison
JAD-02K is an AI system that classifies the gray matter and calculates the cortical thickness using patient's MRI. This system, which is based on 3D convolution neural network technology, classifies each region of gray matter. It also calculates the cortical thickness based on 3D MRI data and estimates the status of brain aging with the normal group.
Subspeciality: Neuro
Modality: MR
Source: Vendor
Cerebral aneurysm detection
JBA-01K is an AI system that diagnoses whether or not a cerebral aneurysm exists using patient's MR angiography. This system, which is based on 3D convolution neural network technology, detects lesions of cerebral aneurysms. It also shows the probability of each aneurysm lesion based on MR angiography and clinical information data. It could help physician or medical staff to determine whether or not a cerebral aneurysm exists.
Subspeciality: Neuro
Modality: CT
Source: Vendor
Intracranial hemorrhage detection
JBS-04K is an AI medical system that diagnoses hemorrhagic stroke using the patient's CT images. This system analyzes CT images and then performs hemorrhagic lesion detection using 3D-based artificial neural networks, and provides the result of subtypes classification of the hemorrhagic stroke such as ICH, IVH and SAH.
Subspeciality: Chest
Modality: X-ray
Source: Vendor
Abnormality detection and localization of 15 lung diseases
JLD-02K is an AI medical system that diagnoses lung diseases using simple chest X-ray images and clinical information. This system is based on a hybrid artificial neural network technology for lesion detection and lung diseases classification. It also provides the AI analyzed probability of having each lung disease.
Subspeciality: Neuro
Modality: MR
Source: Vendor
Ischemic stroke subclassification
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.
Subspeciality: Abdomen
Modality: MR
Source: Vendor
Prostate cancer detection
JPC-01K is an AI medical system that detects the area of prostate cancer using multiparametric MR images. The system is based on artificial neural networks to analyze the MR images of the prostate cancer patients. The system uses multiparametric MR images, T2, DWI, and DCE, as input and visualizes the location of the prostate cancer and their probability.
Subspeciality: Chest
Modality: CT
Source: Vendor
Lung nodules detection and quantification, LungRADs categorization, Report generation, Vancouver Risk calculator
JLD-01K is based on the Convolutional Neural Network (CNN), a type of deep learning model, that detects nodules in pulmonary CT images. Measure the diameter and volume of the nodules found, proceed quantitatively, categorize the LungRADs category, and specify the total number of nodules per patient. In addition, 2D views of Axial, Coronal, Sagittal, etc. are provided through the web-based UI, and lungs and nodules are visualized and displayed through 3D views.
Subspeciality: Breast
Modality: Mammography
Source: Vendor
Breast mass detection, Micro-calcification detection, Report generation
JBD-01K is a software that provides the presence and location of breast tumors and microcalcifications through AI-based analysis of Mammography images obtained from examinee. This product works in conjunction with the PACS (Picture Archiving and Communication System) to access and review data compliant with DICOM (Digital Imaging and Communications in Medicine).
Subspeciality: Neuro
Modality: MR
Source:
Heatmap of abnormalities, Lesion classification, Segmentation
JLK-DWI detects lesions suspected of cerebral infarction from diffusion-weighted MR images, and it analyzes lesion size, location, and pattern. JLK-DWI offers estimates for the likelihood of major types of cerebral infarction, including large artery atherosclerosis, cardioembolic, and small-vessel strokes. The information generated is intended to support clinical assessment and contribute to informed decisions regarding patient management.
Subspeciality: Neuro
Modality: MR
Source: