A5032201212- Virtual Reality Applications and Impacts
- Education and Learning Interventions
- Diverse Approaches in Healthcare and Education Studies
- Diverse Topics in Contemporary Research
- Innovation in Digital Healthcare Systems
- Consumer Perception and Purchasing Behavior
- Stroke Rehabilitation and Recovery
- EEG and Brain-Computer Interfaces
- Lung Cancer Diagnosis and Treatment
- Advanced Optical Imaging Technologies
- Financial Markets and Investment Strategies
- Stock Market Forecasting Methods
- Augmented Reality Applications
- Radiation Dose and Imaging
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Market Dynamics and Volatility
- Image and Video Quality Assessment
- Dementia and Cognitive Impairment Research
- Visual Culture and Art Theory
- Chemotherapy-induced cardiotoxicity and mitigation
- Educational Systems and Policies
- Heart Failure Treatment and Management
- Manufacturing Process and Optimization
- Aesthetic Perception and Analysis
- Simulation-Based Education in Healthcare
Chonnam National University Hospital
2024
Korea Creative Content Agency
2023-2024
Gachon University
2017-2023
Samsung Medical Center
2022
Sungkyunkwan University
2022
Asan Medical Center
2012-2021
University of Ulsan
2012-2021
Ulsan College
2012-2021
Eulji General Hospital
1997
Abstract Background In this study, we investigated whether deep learning-based prediction of osseointegration dental implants using plain radiography is possible. Methods Panoramic and periapical radiographs 580 patients (1,206 implants) were used to train test a learning model. Group 1 (338 patients, 591 included that radiographed immediately after implant placement, is, when had not yet occurred. 2 (242 615 confirming successful osseointegration. A dataset was extracted random sampling...
Objective This study aimed to introduce a 4-week long fully immersive virtual reality-based cognitive training (VRCT) program that could be applied for both cognitively normal elderly population and patients with mild impairment (MCI). In addition, we attempted investigate the neuropsychological effects of VRCT in each group.Methods A total 56 participants, 31 MCI group 25 group, underwent eight sessions 4 weeks. order evaluate VRCT, Korean version Consortium Establish Registry Alzheimer’s...
Purpose To develop and validate a scoring system based on clinical imaging features to predict the risk for biliary atresia in patients with neonatal cholestasis. Materials Methods Patients cholestasis who underwent both ultrasonography (US) hepatobiliary scintigraphy (n = 480) were retrospectively identified from two tertiary referral hospitals January 2000 February 2017. one hospital classified as derivation cohort 371), those other validation 109). Clinical associated assessed....
Abstract Atrial fibrillation (AF) is an arrhythmia that can cause blood clot and may lead to stroke heart failure. To detect AF, deep learning-based detection algorithms have recently been developed. However, learning models were often trained with limited datasets evaluated within the same datasets, which makes their performance generally drops on external known as data dependency. For this study, three different databases from PhysioNet used investigate dependency of AF algorithm using...
This paper proposes a web-based extended reality (XR) platform integrating exhibitions based on augmented (AR) and virtual (VR). The proposed includes an XR cloud for managing sharing data in spaces, VR client users, AR real-world users. is service responsible objects spatial information related to real spaces while simultaneously facilitating real-time synchronization between offers exhibition environment the space overlays over space, allowing intuitive interaction with them. was...
The automatic segmentation of the pancreatic cyst lesion (PCL) is essential for automated diagnosis lesions on endoscopic ultrasonography (EUS) images. In this study, we proposed a deep-learning approach PCL EUS We employed Attention U-Net model segmentation. was compared with Basic U-Net, Residual and U-Net++ models. showed better dice similarity coefficient (DSC) intersection over union (IoU) scores than other models internal test. Although higher DSC IoU external test there no...
Combining the current era background of rapid development related industries in metaverse and social environment brought about by COVID-19. As a result, there are more cases receiving treatment for mental illness space. Therefore, actual situation, main body this article is to use game engine build high-realistic virtual diagnosis stage based on metaverse. This project has two components: 1. Design space scene. Designed improve discomfort elderly users environment. 2. The PBR (Physically...
Abstract Background Cognitive reserve (CR) is a concept proposed to account for discrepancies between the extent of brain pathology and clinical manifestations that pathology. This study aimed explore associations CR effects cognitive training using fully immersive virtual reality (VR). Methods A total 44 older adults (22 cognitively normal, 22 with mild impairment) underwent eight sessions VR period 4 weeks. was assessed Reserve Index questionnaire (CRIq). To evaluate baseline function...
To evaluate the effect of deep learning model reconstruction (DLM) method in terms image quality and diagnostic agreement low-dose computed tomography (LDCT) for interstitial lung disease (ILD), 193 patients who underwent LDCT suspected ILD were retrospectively reviewed. Datasets reconstructed using filtered back projection (FBP), adaptive statistical iterative Veo (ASiR-V), DLM. For analysis, signal, noise, signal-to-noise ratio (SNR), blind/referenceless spatial evaluator (BRISQUE), visual...
This study aimed to verify the effectiveness of virtual reality (VR) cognitive training by measuring sense presence and electroencephalography (EEG) in children with ADHD. A clinical trial was conducted effect VR on The experimental group included eight ADHD, control healthy without increased significantly after Also, no significant changes alpha, beta, delta, gamma wave amplitudes were found both groups training. Thus, content developed this can help measure patients’ behavioral inhibition,...
This study applies machine learning methods to develop a sustainable pairs trading market-neutral investment strategy across multiple futures markets. Cointegrated with similar price trends are identified, and hedge ratio is determined using an Error Correction Model (ECM) framework support vector algorithm based upon the two-step Engle–Granger method. The shows that normal backwardation contango do not consistently characterize markets, algorithmic effective, given unique predominant of...
We examine an application of machine learning to exchange traded fund investments in the U.S. market. To find how changes prices are associated with expected market fundamentals, we propose three parsimonious risk factors extracted from various economic and indicators. Based on information set including these factors, build a predictive support vector model that can detect long or short investment signals. high probability upward momentum our forecasting suggests signal, whereas low downward...
It is very important to prevent dementia by intervening in advance the stage of mild cognitive impairment, which pre-stage dementia. Recently, therapy research using metaverse has been on rise. We propose a way utilize content as non-drug treatment method impairment patients. This paper shows results clinical trials contents developed us. collected data from MCI patient groups and normal through MMSE-KC tests in-content collection systems. conducted paired t-tests repeat measurement ANOVA...
There is a trend that VR contents using Head Mounted Displays (HMDs) get highlighted these days. However, most of users suffer from the difficulties in use due to motion sickness. In this paper, definition, causes and solutions for sickness will be investigated. To resolve problem, paper propose test system which allows prevent at time when are produced take close look architecture system.
In this study, an effective interaction method for the elements that may maximize inter-user presence in social VR game plays a role of relation extension space is intended to be suggested. Relevant research on presence, immersion, interaction, required including particularly player movement based function controller and HMD system connecting reality with virtual environment, haptic correlation audio will progressed.
By using the microfluidic spinning technology we generated tiny hydrogel tubular scaffolds. Fibroblast (NIH/3T3) cell cultures were performed for seventeen days to demonstrate potential of attachment on surfaces and encapsulation in wall he microscopic scaffolds blood vessel-like structure forming. Over theculture period, NIH/3T3 confluence reached around 80%, 100% inside outside scaffolds' surface respectively while cells proliferated coalesced group wall. These results could further be...
The gaming industry, which was among the industries least affected by COVID-19 outbreak, exhibited positive growth trends during period. This paper explores impact of on industry analyzing news texts from 2020 to 2022 using text mining and LDA (latent Dirichlet allocation) topic classification, visualizing charts. study focuses three themes, namely current situation, future, possible problems China’s game in post-epidemic era. findings this suggest that development outbreak prompted...
VR contents maximize user's presence with new space and time immersion by blocking visual sense from reality through various interaction to provide amusement interest. On the other hand, when using VR, a person may experience dizziness or motion sickness thus he/she has difficulty in it for long time, which lead reduced number of users. In order solve above mentioned problem, this study supposes that stress elements can be adding smell aroma kept stimulation senses lessen inconvenience. This...
Along with the development of IT technology, healthcare industry is growing by converging and studies on various fusion medical clinical trials using virtual reality which have been particularly noticeable after 4th industrial revolution, are actively progressing. In particular, there a trend active research strabismus treatment in combination technology at home abroad. this paper, through collaboration an ophthalmologist, we developed 3 types mini-game contents that can be used to train...
Objective: Current guidelines recommend home blood pressure (HBP) monitoring in patients diagnosis with hypertension and those white coat or masked hypertension. Delicate classification of these are important because the intensification antihypertensive drug therapy for uncontrolled may not be needed cardiovascular risk seems to greater. Therefore, its detection is avoid overtreatment. Meanwhile need further treatment. Dr. Answer project consists 21 artificial intelligence (AI) medical...