South Korea-based manufacturer JLK Inspection has unveiled AIHuB, an AI-based medical imaging diagnosis system.

Conducting analysis from MR, CT, X-ray and mammography scans, the all-in-one diagnosis system can detect and monitor more than 30 medical conditions throughout 14 regions of the body, including stroke, cancer and Alzheimer’s.

"We are excited to show how we are able to assist users with quantitative analysis of their medical images at their own convenience," Won Tae Kim, CEO of JLK Inspection, said in a statement. “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.”

The AIHuB enables clinicians to diagnose diseases faster and more accurately from a single central system focused on conditions of the brain that include ischemic strokes, hemorrhagic strokes, brain aneurysms, Alzheimer's disease, lung cancer, prostate cancer, breast cancer, coronary artery disease and digital pathology.

Equipped with a user-friendly interface, the on-site universal solution offers high-quality medical management, efficient medical treatment and transparent medical services that seamlessly connect with any other in-hospital system. It also provides real-time connection, is composed of neural network solvers and libraries, and offers easy and stable integration in delivering objective medical care based on AI analysis in an easy-to-analyze format.

JLK successfully raised more than 417 million in VC funding and is expected to go public with an IPO in the second half of 2019. It is based in Seoul, South Korea with offices in Silicon Valley.

The company debuted its JBS-91K system last month at the Radiological Society of North America (RSNA).