AIMC Topic: Republic of Korea

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Challenge for Diagnostic Assessment of Deep Learning Algorithm for Metastases Classification in Sentinel Lymph Nodes on Frozen Tissue Section Digital Slides in Women with Breast Cancer.

Cancer research and treatment Jun 30, 2020
PURPOSE: Assessing the status of metastasis in sentinel lymph nodes (SLNs) by pathologists is an essential task for the accurate staging of breast cancer. However, histopathological evaluation of SLNs by a pathologist is not easy and is a tedious and...
Republic of Korea Female Aged Aged, 80 and over Adult Humans Sentinel Lymph Node Biopsy Frozen Sections Image Processing, Computer-Assisted Lymphatic Metastasis Predictive Value of Tests Neoplasm Staging Sentinel Lymph Node Breast Neoplasms Middle Aged Deep Learning ROC Curve
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A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study.

The Lancet. Digital health Jun 23, 2020
BACKGROUND: Anaemia is an important health-care burden globally, and screening for anaemia is crucial to prevent multi-organ injury, irreversible complications, and life-threatening adverse events. We aimed to establish whether a deep learning algori...
Republic of Korea Female Reproducibility of Results Aged Male Humans Algorithms Retrospective Studies Middle Aged Deep Learning Electrocardiography Anemia
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Defining heterogeneity of epicardial functional stenosis with low coronary flow reserve by unsupervised machine learning.

Heart and vessels Jun 6, 2020
Low CFR is associated with poor prognosis, whereas it is a heterogeneous condition according to the actual coronary flow, such as high resting or low hyperemic coronary flow, which should have different physiological traits and clinical implications....
Male Humans Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Cluster Analysis Prognosis Republic of Korea Blood Flow Velocity Female Unsupervised Machine Learning Cardiac Catheterization Aged Predictive Value of Tests Coronary Stenosis Registries Fractional Flow Reserve, Myocardial Japan Hyperemia Spain
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Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea.

Journal of environmental management Jun 5, 2020
The biochemical oxygen demand (BOD), one of widely utilized variables for water quality assessment, is metric for the ecological division in rivers. Since the traditional approach to predict BOD is time-consuming and inaccurate due to inconstancies i...
Neural Networks, Computer Republic of Korea Environmental Monitoring Oxygen Water Quality Rivers Biological Oxygen Demand Analysis
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What are the main patient safety concerns of healthcare stakeholders: a mixed-method study of Web-based text.

International journal of medical informatics May 4, 2020
OBJECTIVES: Various healthcare stakeholders define quality of care in different ways. Public policy could advocate all these concerns. This study was conducted to identify the main themes on patient safety of stakeholders expressed before and after t...
Government Natural Language Processing Internet Health Services Humans Quality Improvement Research Design Patient Safety Republic of Korea Hospitals Longitudinal Studies
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Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea.

Scientific reports May 4, 2020
Herein, we aim to assess mortality risk prediction in peritoneal dialysis patients using machine-learning algorithms for proper prognosis prediction. A total of 1,730 peritoneal dialysis patients in the CRC for ESRD prospective cohort from 2008 to 20...
Peritoneal Dialysis Female Risk Factors Aged Adult Humans Male Machine Learning Middle Aged Prospective Studies Predictive Value of Tests Republic of Korea Models, Biological Mortality
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A double-hit of stress and low-grade inflammation on functional brain network mediates posttraumatic stress symptoms.

Nature communications Apr 20, 2020
Growing evidence indicates a reciprocal relationship between low-grade systemic inflammation and stress exposure towards increased vulnerability to neuropsychiatric disorders, including posttraumatic stress disorder (PTSD). However, the neural correl...
Humans Inflammation Magnetic Resonance Imaging Neural Pathways Nerve Net Neural Networks, Computer Female Cytokines Young Adult Brain Adult Republic of Korea Male Stress Disorders, Post-Traumatic
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Association of Cardiovascular Mortality and Deep Learning-Funduscopic Atherosclerosis Score derived from Retinal Fundus Images.

American journal of ophthalmology Mar 25, 2020
PURPOSE: The prediction of atherosclerosis using retinal fundus images and deep learning has not been shown possible. The purpose of this study was to develop a deep learning model which predicted atherosclerosis by using retinal fundus images and to...
Prognosis Ultrasonography Follow-Up Studies Retrospective Studies Male Predictive Value of Tests Republic of Korea Cardiovascular Diseases Atherosclerosis Aged Female Middle Aged Fundus Oculi Aged, 80 and over Risk Factors Humans Risk Assessment Retina Adult Deep Learning Carotid Arteries Survival Rate Ophthalmoscopy
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Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography.

Journal of the American Heart Association Mar 21, 2020
Background Severe, symptomatic aortic stenosis (AS) is associated with poor prognoses. However, early detection of AS is difficult because of the long asymptomatic period experienced by many patients, during which screening tools are ineffective. The...
Severity of Illness Index Deep Learning Aortic Valve Reproducibility of Results Electrocardiography Humans Predictive Value of Tests Aged Aortic Valve Stenosis Retrospective Studies Signal Processing, Computer-Assisted Aged, 80 and over Republic of Korea Early Diagnosis Male Female Middle Aged
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Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services.

Scandinavian journal of trauma, resuscitation and emergency medicine Mar 4, 2020
BACKGROUND: In emergency medical services (EMSs), accurately predicting the severity of a patient's medical condition is important for the early identification of those who are vulnerable and at high-risk. In this study, we developed and validated an...
Female Male Middle Aged Deep Learning Cohort Studies Emergency Medical Services Humans Artificial Intelligence Triage Emergency Service, Hospital Algorithms Critical Care Retrospective Studies Republic of Korea
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