AIMC Topic: Republic of Korea
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Artificial intelligence applied to electrocardiogram to rule out acute myocardial infarction: the ROMIAE multicentre study.
European heart journal
May 21, 2025
BACKGROUND AND AIMS: Emerging evidence supports artificial intelligence-enhanced electrocardiogram (AI-ECG) for detecting acute myocardial infarction (AMI), but real-world validation is needed. The aim of this study was to evaluate the performance of...
Deep learning health space model for ordered responses.
BMC medical informatics and decision making
May 16, 2025
BACKGROUND: As personalized medicine becomes more prevalent, the objective measurement and visualization of an individual's health status are becoming increasingly crucial. However, as the dimensions of data collected from each individual increase, t...
Optimizing Automated KCD Coding: A Retrieval-Verification Approach.
Studies in health technology and informatics
May 15, 2025
This study proposes a two-step Retrieval-Verification system for automating the assignment of Korean Standard Classification of Diseases (KCD) codes to free-text diagnoses. The system uses SapBERT-XLMR for initial retrieval, followed by Llama 3.1 for...
Comparative Analysis of ChatGPT-4 for Automated Mapping of Local Medical Terminologies to SNOMED CT.
Studies in health technology and informatics
May 15, 2025
Standardizing medical terminology is critical for healthcare informatics, particularly for improving data interoperability and patient management systems. This study evaluated four distinct GPT-4-based approaches for mapping local medical terminologi...
Artificial intelligence for severity triage based on conversations in an emergency department in Korea.
Scientific reports
May 15, 2025
In the fast-paced emergency departments, where crises unfold unpredictably, the systematic prioritization of critical patients based on a severity classification is vital for swift and effective treatment. This study aimed to enhance the quality of e...
Machine learning approach for unmet medical needs among middle-aged adults in South Korea: a cross-sectional study.
BMC health services research
May 13, 2025
BACKGROUND: South Korea is reported to have higher levels of unmet medical needs (UMN) than other countries, particularly among the middle-aged adult population. Considering that this group constitutes a substantial portion of the country's productiv...
Artificial intelligence-derived electrocardiographic aging and risk of atrial fibrillation: a multi-national study.
European heart journal
Mar 3, 2025
BACKGROUND AND AIMS: Artificial intelligence (AI) algorithms in 12-lead electrocardiogram (ECG) provides promising age prediction methods. This study investigated whether the discrepancy between ECG-derived AI-predicted age (AI-ECG age) and chronolog...
Predicting In-Hospital Fall Risk Using Machine Learning With Real-Time Location System and Electronic Medical Records.
Journal of cachexia, sarcopenia and muscle
Feb 1, 2025
BACKGROUND: Hospital falls are the most prevalent and fatal event in healthcare, posing significant risks to patient health outcomes and institutional care quality. Real-time location system (RTLS) enables continuous tracking of patient location, pro...
Effects of neighborhood streetscape on the single-family housing price: Focusing on nonlinear and interaction effects using interpretable machine learning.
PloS one
Jan 1, 2025
Previous studies using the conventional Hedonic Price Model to predict existing housing prices may have limitations in addressing the relationship between house prices and streetscapes as visually perceived at the human eye level, due to the constrai...
Accurate total consumer price index forecasting with data augmentation, multivariate features, and sentiment analysis: A case study in Korea.
PloS one
Jan 1, 2025
The Consumer Price Index (CPI) is a key economic indicator used by policymakers worldwide to monitor inflation and guide monetary policy decisions. In Korea, the CPI significantly impacts decisions on interest rates, fiscal policy frameworks, and the...
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