AI-Based Platform Designed to Classify Strokes Quickly

An artificial intelligence (AI)-based stroke diagnosis platform designed to assist doctors in quickly classifying the cause of a stroke has completed clinical trials and is expected to provide key information to determine treatment for stroke, leading to faster and more-precise decision-making for patients.

The platform has been developed by JLK Inspection (Seoul, South Korea), a deep learning and AI company. The company specializes in combining AI and image-processing technologies with medical expertise. JLK utilizes AI and deep learning technologies to analyze MRI images of stroke patients to help classify the cause of a stroke. In order to train the AI platform, JLK has secured billions of pieces of data from millions of cases through collaborations with hospitals in Korea. Researchers at JLK are working with these institutions to help train the software to analyze the provided data correctly. The company expects the AI-based stroke diagnosis platform to work as a virtual "skilled assistant" to help physicians assess medical images as accurately as possible.


"It is inspiring in that, JLK Inspection has a platform for CT-based hemorrhagic stroke detection as well as for MRI-based ischemic stroke diagnosis at a time when its peers are only working in the hemorrhagic stroke detection area," said Wontae Kim, CEO of JLK Inspection. "Fast diagnosis using our solution is essential in treating strokes, helping provide more time for faster treatment, while potentially saving lives and millions in medical expenses."

Additionally, JLK Inspection is also building an AI-based general and universal medical platform to cover various other diseases and conditions such as dementia and prostate cancer, among others, by working closely with globally renowned hospitals and research centers.

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