AIMC Topic: Republic of Korea
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Machine Learning-Based Prediction for Incident Hypertension Based on Regular Health Checkup Data: Derivation and Validation in 2 Independent Nationwide Cohorts in South Korea and Japan.
Journal of medical Internet research
Nov 5, 2024
BACKGROUND: Worldwide, cardiovascular diseases are the primary cause of death, with hypertension as a key contributor. In 2019, cardiovascular diseases led to 17.9 million deaths, predicted to reach 23 million by 2030.
Artificial Intelligence-Based Fully Automated Quantitative Coronary Angiography vs Optical Coherence Tomography-Guided PCI: The FLASH Trial.
JACC. Cardiovascular interventions
Oct 30, 2024
BACKGROUND: Recently developed artificial intelligence-based coronary angiography (AI-QCA, fully automated) provides real-time, objective, and reproducible quantitative analysis of coronary angiography without requiring additional time or labor.
Female
Aged
Male
Middle Aged
Artificial Intelligence
Prospective Studies
Republic of Korea
Tomography, Optical Coherence
Coronary Angiography
Percutaneous Coronary Intervention
Coronary Artery Disease
Time Factors
Treatment Outcome
Predictive Value of Tests
Humans
Coronary Vessels
Stents
Image Interpretation, Computer-Assisted
Automation
Deep learning innovations in South Korean maritime navigation: Enhancing vessel trajectories prediction with AIS data.
PloS one
Oct 24, 2024
Predicting ship trajectories can effectively forecast navigation trends and enable the orderly management of ships, which holds immense significance for maritime traffic safety. This paper introduces a novel ship trajectory prediction method utilizin...
Development of Machine Learning Models to Categorize Life Satisfaction in Older Adults in Korea.
Journal of preventive medicine and public health = Yebang Uihakhoe chi
Oct 23, 2024
OBJECTIVES: This study aimed to identify factors associated with life satisfaction by developing machine learning (ML) models to predict life satisfaction in older adults living alone.
Comparative Analysis of the Response Accuracies of Large Language Models in the Korean National Dental Hygienist Examination Across Korean and English Questions.
International journal of dental hygiene
Oct 16, 2024
INTRODUCTION: Large language models such as Gemini, GPT-3.5, and GPT-4 have demonstrated significant potential in the medical field. Their performance in medical licensing examinations globally has highlighted their capabilities in understanding and ...
Classifying eutrophication spatio-temporal dynamics in river systems using deep learning technique.
The Science of the total environment
Sep 29, 2024
Eutrophication is a major cause of water quality degradation in South Korea, owing to severe algal blooms. To manage eutrophication, the South Korean government provided the Trophic State Index (TSIko), which was revised according to Carlson's TSI. T...
Machine-learning-based evaluation of the usefulness of lactate for predicting neonatal mortality in preterm infants.
Pediatrics and neonatology
Sep 25, 2024
BACKGROUND: Unlike in adult and pediatric patients, the usefulness of lactate in preterm infants has not been thoroughly discussed. This study aimed to evaluate whether the lactate level in the first hours of life is an important factor associated wi...
Multiple remotely sensed datasets and machine learning models to predict chlorophyll-a concentration in the Nakdong River, South Korea.
Environmental science and pollution research international
Sep 24, 2024
The Nakdong River is a crucial water resource in South Korea, supplying water for various purposes such as potable water, irrigation, and recreation. However, the river is vulnerable to algal blooms due to the inflow of pollutants from multiple point...
AI-Safe-C score: Assessing liver-related event risks in patients without cirrhosis after successful direct-acting antiviral treatment.
Journal of hepatology
Sep 20, 2024
BACKGROUND & AIMS: Direct-acting antivirals (DAAs) have considerably improved chronic hepatitis C (HCV) treatment; however, follow-up after sustained virological response (SVR) typically neglects the risk of liver-related events (LREs). This study in...
RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning.
BMC medical informatics and decision making
Sep 16, 2024
BACKGROUND: The population diagnosed with renal cell carcinoma, especially in Asia, represents 36.6% of global cases, with the incidence rate of renal cell carcinoma in Korea steadily increasing annually. However, treatment options for renal cell car...
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