Korean AI can predict contralateral knee osteoarthritis and more Korea briefs
AI predicts the contralateral knee osteoarthritis
Researchers from Seoul National University Hospital (SNUH) have developed an AI model to predict the probability that patients with unilateral osteoarthritis develop the same condition in their other knee.
They have formed an algorithm based on automatic learning on two sets of large-scale arthritis monitoring data in the United States. He considered nine variables: sex, ethnic origin, body mass index, gravity of arthritis in the arthritis and contralateral kneesIndex of pain and the function of the arthritic and contralateral knees, the joint side of the contracing of the contralateral knee and the history of surgery of the contrary knee.
The model was then used to analyze approximately 1,353 cases of unilateral osteoarthritis that were followed for four to five years from arthritis data sets.
A major conclusion of the study, published in the Journal of OrthopeDic Research in Wiley, was that a reduction in the joint lateral space of the contralateral knee is a major risk factor in contrary knee, increasing the risk by 4.5 times.
The study has also demonstrated for the first time that the severity of arthritis and the pain index and function of unilateral knee arthritis are greatly associated with the development of osteoarthritis in the opposite knee.
In addition, the model has demonstrated 69% precision in the identification of patients with a high risk of developing contralateral knee arthritis.
“This study is the first to develop an automatic learning model which predicts the possibility of developing the contolateral osteoarthritis of the knee. It is supposed to help develop personalized treatment plans which consider both knees in the future,” said the study of Hyun RO, who is also a teacher of orthopedic surgery in SNUH.
Online resource on the experimental data of traditional drugs launched
The South Korean Ministry of Health and Well-Being (MOHW) has recently managed a new service offering online access to experimental data on traditional Korean medicine.
The pilot service launched on the Korea website Institute of Oriental Medicine seeks to consolidate the experimental data dispersed on traditional Korean medicine and to make it available to the public, in particular for researchers.
Following this pilot phase, the service is expected to provide detailed information on plant -based plants and introduces an analysis function based on network pharmacology by next year.
Meanwhile, the MOHW also explores the development of an AI model to predict the effectiveness of plant -based drugs and an interactive chatbot service.
The Seoul Gangdong district to offer a digital chronic disease management service
Kakao Healthcare, the conglomerate of the Kakao Corporation digital health unit, will feed the provision of personalized health management services in the gangdong district in Seoul, capital of South Korea.
The company has concluded a partnership with the Gangdong The government of the district establishes a chronic management system for chronic diseases led by AI. They will also carry out research to improve the application of digital diabetes of Kakao Healthcare, as well as to promote awareness and education concerning blood sugar management.
The partnership would be the first of its kind to any unit of the country’s local government.
