AIMC Topic: Republic of Korea

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Automated detection of colorectal tumors based on artificial intelligence.

BMC medical informatics and decision making Feb 1, 2021
BACKGROUND: This study developed a diagnostic tool to automatically detect normal, unclear and tumor images from colonoscopy videos using artificial intelligence.
Humans Artificial Intelligence Republic of Korea Colorectal Neoplasms
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Precision Regulation Approach: A COVID-19 Triggered Regulatory Drive in South Korea.

Frontiers in public health Feb 1, 2021
COVID-19 has triggered various changes in our everyday lives and how we conceptualize the functions of governments. Some areas require stricter forms of regulation while others call for deregulation. The challenge for the regulatory authorities is to...
Republic of Korea Biotechnology Government Regulation Humans Artificial Intelligence COVID-19
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Identification Framework of Contaminant Spill in Rivers Using Machine Learning with Breakthrough Curve Analysis.

International journal of environmental research and public health Jan 24, 2021
To minimize the damage from contaminant accidents in rivers, early identification of the contaminant source is crucial. Thus, in this study, a framework combining Machine Learning (ML) and the Transient Storage zone Model (TSM) was developed to predi...
Machine Learning Republic of Korea Risk Assessment Rivers
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Inter-regional multimedia fate analysis of PAHs and potential risk assessment by integrating deep learning and climate change scenarios.

Journal of hazardous materials Jan 15, 2021
Polycyclic aromatic hydrocarbons (PAHs) are hazardous compounds associated with respiratory disease and lung cancer. Increasing fossil fuel consumption, which causes climate change, has accelerated the emissions of PAHs. However, potential risks by P...
Risk Assessment Deep Learning China Climate Change Multimedia Republic of Korea Environmental Monitoring Polycyclic Aromatic Hydrocarbons
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Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting.

Journal of medical Internet research Dec 16, 2020
BACKGROUND: Despite excellent prediction performance, noninterpretability has undermined the value of applying deep-learning algorithms in clinical practice. To overcome this limitation, attention mechanism has been introduced to clinical research as...
Humans Algorithms Deep Learning Research Design Diabetes Mellitus Empirical Research Republic of Korea Reproducibility of Results
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Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study.

PloS one Nov 24, 2020
The recent medical applications of deep-learning (DL) algorithms have demonstrated their clinical efficacy in improving speed and accuracy of image interpretation. If the DL algorithm achieves a performance equivalent to that achieved by physicians i...
Triage Radiologists Radiographic Image Interpretation, Computer-Assisted Data Accuracy Middle Aged Reproducibility of Results Tomography, X-Ray Computed Deep Learning Humans SARS-CoV-2 Republic of Korea Radiography, Thoracic Sensitivity and Specificity Reverse Transcriptase Polymerase Chain Reaction Aged COVID-19 Female Aged, 80 and over Male Retrospective Studies Adult
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Machine learning to predict early TNF inhibitor users in patients with ankylosing spondylitis.

Scientific reports Nov 20, 2020
We aim to generate an artificial neural network (ANN) model to predict early TNF inhibitor users in patients with ankylosing spondylitis. The baseline demographic and laboratory data of patients who visited Samsung Medical Center rheumatology clinic ...
Male Middle Aged Deep Learning Time Factors Female Young Adult Adult Tumor Necrosis Factor Inhibitors Spondylitis, Ankylosing ROC Curve Treatment Outcome Feasibility Studies Retrospective Studies Republic of Korea Humans Forecasting
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Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study.

Scientific reports Oct 30, 2020
The rapid spread of COVID-19 has resulted in the shortage of medical resources, which necessitates accurate prognosis prediction to triage patients effectively. This study used the nationwide cohort of South Korea to develop a machine learning model ...
Machine Learning Pandemics COVID-19 Aged Aged, 80 and over Republic of Korea Humans Female Models, Statistical Coronavirus Infections Adult Mortality Male Pneumonia, Viral Middle Aged
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Usability Evaluation of User Requirement-Based Teleconsultation Robots: A Preliminary Report from South Korea.

Methods of information in medicine Oct 30, 2020
BACKGROUND: Telepresence robots used to deliver a point-of-care (POC) consultation system that may provide value to enable effective decision making by healthcare providers at care sites.
Point-of-Care Systems Middle Aged Qualitative Research Surveys and Questionnaires Humans Republic of Korea Telemedicine Remote Consultation Interviews as Topic User-Computer Interface Robotics
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Temporal Trends in Cervical Spine Curvature of South Korean Adults Assessed by Deep Learning System Segmentation, 2006-2018.

JAMA network open Oct 1, 2020
IMPORTANCE: The loss of the physiologic cervical lordotic curve is a common degenerative disorder known to be associated with abnormal spinal alignment. However, the changing trends among sex and age groups has not yet been well established.
Kyphosis Humans Lordosis Retrospective Studies Age Factors Spinal Curvatures Republic of Korea Cervical Vertebrae Male Sex Factors Adult Middle Aged Cross-Sectional Studies Female Deep Learning Young Adult
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