Kim Dong-min, CEO of JLK, “AI is suitable for diagnosing important strokes during golden time” [2025 테크 퀘스트]

JLK CEO Kim Dong-min is giving a presentation on the topic of ‘The future of stroke diagnosis and treatment changed by medical artificial intelligence’ at the ‘2025 Tech Quest’ held at the Korea Federation of Small and Medium Businesses in Yeouido, Seoul on the 17th. In celebration of EToday’s 14th anniversary, the ‘2025 Tech Quest’ was prepared under the theme of ‘AI, Health & Future’; ‘Exploring the future of technology and innovation’ is a venue for predicting the new normal that quickly presents global standards for future technology so that technology can drive beneficial changes in society and contribute to the development of IT, industry, and finance. am. Reporter Shin Tae-hyun holjjak@”/>

▲JLK CEO Kim Dong-min is giving a presentation on the topic of ‘The future of stroke diagnosis and treatment changed by medical artificial intelligence’ at the ‘2025 Tech Quest’ held at the Korea Federation of Small and Medium Businesses in Yeouido, Seoul on the 17th. In celebration of EToday’s 14th anniversary, the ‘2025 Tech Quest’ was prepared under the theme of ‘AI, Health & Future’; ‘Exploring the future of technology and innovation’ is a venue for predicting the new normal that quickly presents global standards for future technology so that technology can drive beneficial changes in society and contribute to the development of IT, industry, and finance. am. Reporter Shin Tae-hyun holjjak@

“Artificial intelligence (AI) can help with rapid diagnosis of stroke, where golden time is important, and can produce a good prognosis.”

Kim Dong-min, CEO of JLK, said this while giving a presentation on the topic of ‘The future of stroke diagnosis and treatment changed by medical artificial intelligence’ at the ‘2025 Tech Quest’ held at the KBIZ Hall of the Korea Federation of Small and Medium Businesses hosted by EToday on the 17th.

Medical AI, which adds artificial intelligence (AI) functions to medical devices, has the advantage of accurate and fast diagnosis. Global medical device companies are already incorporating AI technology, and the number of domestic medical AI companies is also increasing. Statista, a global market research firm, predicted that the global medical AI market size will grow to $188 billion (approximately 250 trillion won) by 2030.

JLK, Korea’s first listed medical AI company, is targeting stroke diagnosis. Stroke is a condition in which the brain suddenly becomes damaged and cannot function, and 15 million new patients occur every year around the world. In particular, stroke treatment requires prompt treatment because if treatment is delayed by one hour, the probability of being able to perform daily activities decreases by 10%.

CEO Kim said, “Stroke is a disease that is frequent and leaves behind aftereffects, so prompt treatment is important. “If we apply AI to these types of strokes, we can diagnose them as quickly as possible, thereby protecting the golden time and creating a good prognosis,” he said, explaining why he entered the field of stroke diagnosis.

JLK has developed a total of 13 stroke diagnosis solution products, including 7 computed tomography (CT) and 6 magnetic resonance imaging (MRI). Through this, we plan to support analysis of the entire stroke cycle. Recently, premarket approval (510K) was obtained for AI stroke solution ‘JLK-LVO’ from the U.S. Food and Drug Administration (FDA).

CEO Kim said, “Stroke must be examined and diagnosed through imaging. AI can help busy medical staff with quick diagnosis. “We have a full-cycle solution that can tell from stroke prediction to treatment and recurrence probability,” he said. “We have developed our technology to commercialize the stroke diagnosis sector, and I think we have differentiation.”

CEO Kim predicted that medical AI will change workflow in the future. He said, “Companies can establish functional sophistication and diversity through the convergence of heterogeneous functions and networks, and hospitals can establish big data for various diseases and areas and data cleaning using AI.” “Medical staff can use AI. “It will be possible to share experiences and explore potential diagnostic methods and areas,” he said.