The National Information Society Agency (NIA) will share with the international community the Korea’s response of COVID-19 using ICT technology and take the lead in international cooperation in ICT-based K-disaster models.


In the meantime, as the World Health Organization (WHO) and major foreign media outlets introduced Korea's COVID-19 response as the best practice, countries around the world are asking for continued attention and sharing of COVID-19 response policies centered on 3T (test-trace-treat) based on ICT based innovative technologies. 


NIA will publish 'Korean ICT services against COVID-19 pandemic,' which comprehensively introduces government systems and private services used to respond toward COVID-19 and share Korea's experience towards COVID-19 with the international community.



This casebook introduces COVID-19 related IT services operated by the private sector as well as major government systems that are being utilized (diagnosis, public health surveillance, patients & contact management, and prevention stages).


Main 16 cases, including smart quarantine system and drug safety use services (DUR) utilized by the government are introduced for other countries to check their response system, necessary considerations and prerequisites towards infectious disease.


Through 11 cases of COVID-19 response services and ICT technologies that were established and operated through public-private cooperation, it is possible to understand Korea's ICT technology capabilities and the public-private partnership model.


This publication is produced through cooperation between governments, public, private organizations and companies. It also contains contact information of the government and private sector to provide overseas and international cooperation channels.


NIA plans to distribute this casebook to 82 countries and 12 international organizations and develop ICT-based K-disaster education courses, operate international cooperation response teams and conduct active international cooperation activities by holding webinars.


The ICT-based K-disaster curriculum consists of Korea's health care policy and system, Korea's ICT-based infectious disease response system and best practices for COVID-19 response ICT services. It will provide online and offline courses in July this year to countries that want to learn Korea's policies and experiences in response to COVID-19.


To respond towards ICT technology introduction and consulting demands from each country, preparations are underway to organize and operate a COVID-19 global cooperation response team. They are getting ready to support the overseas advancement of private companies and host the COVID-19 webinar using ICT technology with international organizations.


"The dedication of our people and the strength of the ICT system and infrastructure to support it are the driving forces behind the successful COVID-19 response in a disaster crisis," said Moon Yong-sik, president of NIA. "We sympathize with the solidarity with the countries around the world that needs to overcome COVID-19 crisis, and hope that sharing our knowledge and experience gained from the COVID-19 crisis will help the world overcome the COVID-19 together.    


DOWNLOAD E-BOOK "Korean ICT Services Against COVID-19 Pandemic"





JLK Inspection (JLK), the Seoul-based deep learning and artificial intelligence company, announced that after extensive research and development, it has achieved a major milestone in the development of a technology for assisting in the diagnosis of ischemic strokes, which can provide key information to determine treatment. JLK is a member company of the K-ICT Born2Global Centre

JLK Inspection recently completed clinical trials for its AI-based stroke diagnosis platform,

which is designed to assist doctors in quickly classifying the cause of a stroke.


When a patient comes to the hospital with a suspected stroke, the very first step doctors need to tackle is to determine what kind of stroke they are seeing: is there bleeding in the brain or a blockage that prevents blood flowing to the brain? Most cases are identified as ischemic strokes, which occurs when a blood vessel is blocked by a clotobstructing the blood flow in the brain. Treatment of ischemic strokes starts with classifying the cause of the stroke, which is not only difficult task but also carries the risk of causing serious damage or even death to the patient if the stroke's cause is misclassified by thephysician.


Approximately one in six people are at risk of suffering from a stroke, but it is a predicable condition which can be cured with appropriate treatment following proper diagnosis,which is highly dependent on analysis of image data. According to Wontae Kim, CEO of JLK Inspection, this is why the company chose to specialize in this area.


JLK recently completed clinical trials for its AI-based stroke diagnosis platform, which is designed to assist doctors in quickly classifying the cause of a stroke. According to Kim, "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 areonly working in the hemorrhagic stroke detection area." He also added that "fast diagnosis using our solution is essential in treating strokeshelping provide more time for faster treatment, while potentially saving lives and millions in medical expenses."


JLK utilizes artificial intelligence and deep learning technologies to analyze MRI images of stroke patients to help classify the cause of a stroke. To train the AI platform, JLK has secured billions of pieces of data from millions of cases via collaborations with hospitals in Korea, including Seoul National University Hospital and Dongkuk University Hospital. JLK's experts are working with these institutions to help train the software to analyze the provided data correctly.


It is expected that JLK technology will assist physicians in classifying strokes more quickly, leading to faster and more-precise decision-making for the patient while working as a virtual "skilled assistant" to help physicians assess medical images as accurately as possible.


For more detailed information on JLK INSPECTION, visit


X-rays are a form of electromagnetic radiation used to detect and diagnose various injuries and diseases, such as bone fractures, lung cancer, and breast cancer. Compared to computed tomography (CT) and magnetic resonance imaging (MRI) scans, x-rays are simpler and relatively less expensive. However, since the images must still be interpreted by doctors, the technique still has one critical weakness: occasionally, doctors fail to notice the signs of disease.

Lunit's AI interprets x-ray images and lowers the misdiagnosis rate

Lunit Inc. has developed a deep learning-based technology for analyzing medical images that dramatically lowers the rate of misdiagnosis.

Lunit Inc., a member company of the K-ICT Born2Global Centre, has developed a deep learning-based technology for analyzing medical images that dramatically lowers the rate of misdiagnosis. Currently, the AI technology is being subjected to a sophistication process in cooperation with major medical institutions in Korea, including Seoul National University Hospital, Severance Hospital of Yonsei University Health System, Samsung Medical Center, and Asan Medical Center.

Anthony Paek, the CEO of Lunit, explained, "The data-driven imaging biomarker (DIB) technology that Lunit proposed for the first time ever in 2015 is an AI system that has learned abnormal and clinically significant image patterns from big data." He went on to add, "Currently, DIB technology has achieved an accuracy level comparable to that of human experts. In the future, however, we will have new DIB technologies capable of outperforming humans."

Lunit's DIB technology, called Lunit INSIGHT, uses AI technology to analyze existing x-ray images to help doctors make more accurate diagnoses. So far, the results of clinical trials have shown that using this technology increases diagnostic accuracy by 14 percentage points. Based on deep learning, an AI skill-building practice that makes use of big data and artificial neural network technologies, Lunit INSIGHT is capable of accurately analyzing images. Paek explained, "Most medical imaging AIs have been directly and indirectly influenced by DIB technology. Since we now have access to the big data of hospitals and are capable of processing DIB learning from various perspectives, the future potential of our company seems quite high."

The top AI dream team in the world--better than those of Google and Tencent

With a medical AI research team consisting of 12 deep learning researchers and three medical doctors, Lunit has developed the best deep learning and computer vision technologies in the world. At the 2015 ImageNet Large Scale Visual Recognition Competition, it ranked fifth in terms of object detection and localization, surpassing the teams of Google and Tencent. Lunit's technology has gained recognition around the world through the company's participation in international competitions, ranking first in the Tumor Proliferation Assessment Challenge (TUPAC) in 2016 and Camelyon in December 2017. Also in 2017, Lunit was also the only Korean company included on CB Insights' "AI 100," which ranks the 100 most promising AI companies in the world, and secured an investment from K Cube Ventures, SoftBank Ventures, Formation 8, and Mirae Asset Venture Investment.

Lunit unveiled Lunit INSIGHT, its AI-based real-time medical image analysis software, at the end of November at the Radiological Society of North America in Chicago. Able to accurately detect the signs of major lung diseases, such as lung cancer, pneumonia, pneumothorax, and tuberculosis, from x-ray images, Lunit INSIGHT rapidly processes medical images to provide results in only seconds after the images are uploaded and boasts an accuracy of 98 percent. The software is expected to be used for clinical purposes in hospitals and medical centers starting in the second half of 2018.

Lunit CEO Paek said, "Lunit INSIGHT is the first AI-based medical image analysis program in the world that has been released in a final, usable state. Through this release, we plan to expand the basis for the industry so that more medical professionals can gain easy access to such image analysis software." In the first half of the next year, Lunit is expected to unveil a mammography solution that allows doctors to use Lunit INSIGHT for the early diagnosis of breast cancer.

For more detailed information on the Lunit, visit

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