NAVER Cloud used for developing COVID-19 early diagnosis technology with AI

CXR images in Cloud GPU server are used Solid security system certified for International Standards

News provided by wipnews
2021-04-16 13:04:38 KST language
[Photo provided = NAVER Cloud]

[Photo provided = NAVER Cloud]

NAVER Cloud is used for development of the advanced research that can make early diagnosis for COVID-19 infection by analyzing medical image big data with AI.

NAVER Cloud announced on 25th that they are offering NAVER Cloud platform to KAIST Bio and Brain Engineering research team that is conducting the project ‘Rapid diagnosis for infectious disease by using Chest X-Rays (CXR) AI analysis’.

Professor of the department of bio and brain engineering Jong-cheol Ye’s research team has been using a GPU server in NAVER Cloud platform and various Network-Attached Storage (NAS) services interlocking with the server out of the developing process of rapid diagnosis technology for COVID-19 by using CXR image data since last year August.

The company delivered that NAVER medical Cloud has been certified for ISO-27799 which is international standards in the field of medical information protection and observes medical law and personal information protection act and has a solid security system that can detect potential weak points in the network.

NAVER Cloud platform can carry out operational management and extract accurate data quickly in the various fields such as AI medical images and signal management with high-performance parallel computer along with a simple GPU server offering. Furthermore by supporting diverse storage services such as NAS (Network-Attached Storage) and block storage it has increased interoperability and expandability.

Tae-gun Lim the executive director of general sales in NAVER Cloud said “NAVER Cloud platform offers optimized resources for high level computing such as scientific computing data analysis and machine learning inference” and added “Each module is adjustable organically in variable process so we are expecting that research using this technology will be prevalent in the future.”

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