Korean AI can predict contralateral knee osteoarthritis and more Korea briefs

Amnesty International predicts arthritis
Researchers from Seoul National University Hospital (SNUH) have developed a model of artificial intelligence to predict the possibility that patients with osteoporosis unilaterally have in their other knees.
They trained an algorithm based on automatic learning algorithm on two widely -ranging databases in the United States. It was considered nine variables: sex, sweat, body mass index, intensity of arthritis in each of the knees of the joints and oppositeThe Pain Index and the function of each of the knees, joints and opposite, narrowing the area of the side joints of the corresponding knee, and the date of the eradication of judges for the corresponding knee.
Then the model was used to analyze approximately 1353 cases of osteoporosis from one side that was followed for a period of four to five years of joint inflammatory data groups.
specialty The result From the study, published in the Journal of Orthopedic Research, is that the decrease in the side of the side of the corresponding knee is a major risk factor in osteoporosis in the opposite knee, which increases the risk by 4.5 times.
The study also showed for the first time that the severity of arthritis, pain index and function for arthritis from one side is largely associated with the development of arthritis in the opposite knee.
In addition, the 69 % resolution showed in identifying patients with a high risk of developing arthritis in the corresponding knee.
“This study is the first to develop a model of automated learning that predicts the ability to develop osteoporosis corresponding to the knee,” said SNUH.
Online supplier has been launched on the traditional medes experimental data
The South Korean Ministry of Health and Welfare (mohw) has experienced a new service that provides online access to experimental data on traditional Korean medicine.
The experimental service that was launched on the Korea Institute of Eastern Medicine website seeks to unify the experimental data scattered around traditional Korean medicine and make it available to the public, especially for researchers.
After this experimental stage, it is planned for the service to provide detailed information on herbal medicines and provide the network pharmacy analysis feature by next year.
Meanwhile, MoHW also explores the development of the artificial intelligence model to predict the effectiveness of herbal medicines and interactive Chatbot.
The Genjdong District in Seoul to provide the service of digital diseases management service
Kakao Healthcare, the Kakao Corporation, will operate the provision of personal health management services in the Genjdong region of Seoul, the capital of South Korea.
The company entered into a partnership with Gangdong The province’s government to create the data and system of chronic diseases that is driven by artificial intelligence. They will also conduct research to enhance the application of digital diabetes in Kakao Healthcare, as well as enhance awareness and education about blood sugar management.
The partnership is said to be the first of its kind for any local government unit in the country.