AI-Based Diagnosis System Detects over 30 Medical Conditions
By MedImaging International staff writers
Posted on 23 Jan 2019
A new cutting-edge all-in-one medical image diagnosis system named AIHuB can detect and monitor more than 30 medical conditions from 14 regions of the body. Posted on 23 Jan 2019
Developed by JLK Inspection (Seoul, South Korea), AIHuB conducts analysis from MRI, CT, X-ray and mammography imagery using AI-enabled technology that encompasses a wide variety of diagnostic techniques to pinpoint illnesses such as stroke, Alzheimer's and cancer. The ability to provide optimal diagnosis support based on deep learning technologies, unique algorithms and imaging procession techniques will be a great benefit to all patients, whether suffering from minor or major ailments.
Image: The AIHuB is designed as a cutting-edge all-in-one diagnostics platform (Photo courtesy of JLK Inspection).
JLK Inspection is a medical solutions provider specializing in AI-based technology. Its universal AI platform is created by a combination of big data, experts, and the company’s own unique engines & algorithms. JLK Inspection provides the on-site/real-time service that is seamlessly connected to all systems.
Utilizing a user-friendly interface, the AIHuB platform aims to provide high-quality medical management, efficient medical treatment and transparent medical services that will seamlessly connect with all other in-hospital systems. The on-site AI platform will provide real-time connection, and include neural network solvers and libraries. JLK's AIHuB offers an easy and stable integration that provides objective medical care based on AI analysis in an easy-to-analyze format. The universal platform will allow physicians to diagnose diseases in a faster and more accurate manner from the convenience of a single central system focused on brain diseases such as ischemic strokes, hemorrhagic strokes, brain aneurysms, Alzheimer's disease, lung cancer, prostate cancer, breast cancer, coronary artery disease and digital pathology.
"We are excited to show how we are able to assist users with quantitative analysis of their medical images at their own convenience," said Won Tae Kim, CEO of JLK Inspection.
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JLK Inspection