AIMC Topic: Republic of Korea

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Development and Validation of a Radiomics Model for Differentiating Bone Islands and Osteoblastic Bone Metastases at Abdominal CT.

Radiology Mar 30, 2021
Background It is important to diagnose sclerotic bone lesions in order to determine treatment strategy. Purpose To evaluate the diagnostic performance of a CT radiomics-based machine learning model for differentiating bone islands and osteoblastic bo...
Tomography, X-Ray Computed Republic of Korea Female Aged Male Contrast Media Osteosclerosis Bone Neoplasms Humans Diagnosis, Differential Machine Learning Radiography, Abdominal Retrospective Studies Incidental Findings
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A novel recurrent neural network approach in forecasting short term solar irradiance.

ISA transactions Mar 29, 2021
Forecasting solar irradiance is of utmost importance in supplying renewable energy efficiently and timely. This paper aims to experiment five variants of recurrent neural networks (RNN), and develop effective and reliable 5-minute short term solar ir...
Republic of Korea Neural Networks, Computer Forecasting
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Recycled Clothing Classification System Using Intelligent IoT and Deep Learning with AlexNet.

Computational intelligence and neuroscience Mar 26, 2021
Recently, Internet of Things (IoT) and artificial intelligence (AI), led by machine learning and deep learning, have emerged as key technologies of the Fourth Industrial Revolution (4IR). In particular, object recognition technology using deep learni...
Deep Learning Humans Internet of Things Artificial Intelligence Clothing Republic of Korea
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Added Value of Deep Learning-based Detection System for Multiple Major Findings on Chest Radiographs: A Randomized Crossover Study.

Radiology Mar 23, 2021
Background Previous studies assessing the effects of computer-aided detection on observer performance in the reading of chest radiographs used a sequential reading design that may have biased the results because of reading order or recall bias. Purpo...
Female Observer Variation Sensitivity and Specificity Radiography, Thoracic Male Middle Aged Humans Deep Learning Retrospective Studies Lung Diseases Republic of Korea Cross-Over Studies
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Deep learning based prediction of necessity for orthognathic surgery of skeletal malocclusion using cephalogram in Korean individuals.

BMC oral health Mar 18, 2021
BACKGROUND: Posteroanterior and lateral cephalogram have been widely used for evaluating the necessity of orthognathic surgery. The purpose of this study was to develop a deep learning network to automatically predict the need for orthodontic surgery...
Cephalometry Orthognathic Surgery Malocclusion Humans Orthognathic Surgical Procedures Republic of Korea Malocclusion, Angle Class III Deep Learning
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Machine learning models to identify low adherence to influenza vaccination among Korean adults with cardiovascular disease.

BMC cardiovascular disorders Mar 9, 2021
BACKGROUND: Annual influenza vaccination is an important public health measure to prevent influenza infections and is strongly recommended for cardiovascular disease (CVD) patients, especially in the current coronavirus disease 2019 (COVID-19) pandem...
Nutrition Surveys Support Vector Machine Age Factors Influenza, Human Risk Assessment Medication Adherence Vaccination Influenza Vaccines Aged Young Adult Adult Cross-Sectional Studies Male Cardiovascular Diseases Middle Aged Databases, Factual Republic of Korea Female Risk Factors Humans
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Prediction of antibiotic-resistance genes occurrence at a recreational beach with deep learning models.

Water research Mar 3, 2021
Antibiotic resistance genes (ARGs) have been reported to threaten the public health of beachgoers worldwide. Although ARG monitoring and beach guidelines are necessary, substantial efforts are required for ARG sampling and analysis. Accordingly, in t...
Republic of Korea Deep Learning Drug Resistance, Microbial Genes, Bacterial Neural Networks, Computer Anti-Bacterial Agents
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Adequacy and Effectiveness of Watson For Oncology in the Treatment of Thyroid Carcinoma.

Frontiers in endocrinology Mar 3, 2021
BACKGROUND: IBM's Watson for Oncology (WFO) is an artificial intelligence tool that trains by acquiring data from the Memorial Sloan Kettering Cancer Center and learns from test cases and experts. This study aimed to analyze the adequacy and effectiv...
Guideline Adherence Artificial Intelligence Treatment Outcome Practice Patterns, Physicians' Neoplasm Staging Humans Middle Aged Retrospective Studies Medical Oncology Female Thyroid Neoplasms Republic of Korea Aged Decision Support Systems, Clinical Adult Male
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Prediction of newborn's body mass index using nationwide multicenter ultrasound data: a machine-learning study.

BMC pregnancy and childbirth Mar 2, 2021
BACKGROUND: This study introduced machine learning approaches to predict newborn's body mass index (BMI) based on ultrasound measures and maternal/delivery information.
Humans Adult Neural Networks, Computer Ultrasonography, Prenatal Delivery, Obstetric Machine Learning Birth Weight Body Mass Index Body Size Prognosis Gestational Age Pregnancy Predictive Value of Tests Prenatal Diagnosis Retrospective Studies Pregnancy Trimester, Third Female Fetal Weight Republic of Korea Infant, Newborn
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Relationships among Healthcare Digitalization, Social Capital, and Supply Chain Performance in the Healthcare Manufacturing Industry.

International journal of environmental research and public health Feb 3, 2021
Due to the impact of coronavirus disease 2019 (COVID-19), automation and artificial intelligence (AI) have attracted renewed interest in multiple industrial fields. Global manufacturing bases were affected strongly by workforce shortages associated w...
Social Capital COVID-19 Republic of Korea Humans Health Care Sector Artificial Intelligence Manufacturing Industry
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