Chonnam National University Hospital Selected as an Institution for the 'AI Training Data Construction Support Project'

Expectations for Customized Management of Chronic Diseases Such as Kidney Disease

[Asia Economy Honam Reporting Headquarters, Reporter Yoon Jamin] Jeonnam National University Hospital (Director Ahn Young-geun) announced on the 13th that it has been finally selected as the project performing institution for the large-scale national project, the ‘Artificial Intelligence (AI) Training Data Construction Support Project.’

Accordingly, Jeonnam National University Hospital will form a consortium with Hwasun Jeonnam National University Hospital, Pusan National University Hospital, Jeonbuk National University Hospital, Jeonnam National University Industry-Academic Cooperation Foundation, Ulsan National Institute of Science and Technology, Namu Technology Co., Ltd., Namu Intelligence Co., Ltd., Iruon I&S Co., Ltd., Connected Co., Ltd., and Seegene Medical Foundation. They will receive approximately 3.4 billion KRW in government funding and plan to carry out the support project until November this year.

This project, led by the Ministry of Science and ICT and promoted by the National Information Society Agency, aims to build large-scale data to lead the introduction and spread of artificial intelligence and technological development, supporting tasks to achieve intelligent innovation and growth for the leap to an AI powerhouse.

Professor Oh Tae-ryeom of the Nephrology Department at Jeonnam National University Hospital is the principal investigator and will lead the ‘Chronic Disease Data’ project task.

This task consists of ‘Clinical medical data for chronic kidney disease and complication follow-up observation’ and ‘Clinical and lifestyle data related to chronic diseases,’ and it is expected to secure the highest level of AI training data in Korea in the field of chronic disease data, including chronic kidney disease, hypertension, and diabetes.

In particular, chronic kidney disease, which is closely related to diabetes and hypertension, is a representative chronic disease with a prevalence rate of 13.7% among the population aged 30 and over in major domestic cities (according to a 2008 survey by the Korean Society of Nephrology). Continuous management such as risk factor correction and drug treatment is essential to prevent various complications.

Related experts have emphasized the need for ‘AI service development’ based on high-quality data collection for effective management of chronic diseases and personalized treatment through complication prediction.

Professor Oh Tae-ryeom said, “For research using medical and lifelog data constructed through this project to lead to services that help patients, it must continue as a mid- to long-term project,” adding, “If implemented as personalized medical services based on individual data, it is expected to greatly contribute to the health promotion of chronic disease patients.”

This content was produced with the assistance of AI translation services.