Donghyun Kim

ORCID: 0000-0003-0841-3830
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About
Contact & Profiles
Research Areas
  • Dental Radiography and Imaging
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Temporomandibular Joint Disorders
  • Cancer survivorship and care
  • Medical Imaging and Analysis
  • Organ and Tissue Transplantation Research
  • Mobile Health and mHealth Applications
  • Congenital Diaphragmatic Hernia Studies
  • Context-Aware Activity Recognition Systems
  • Dental Education, Practice, Research
  • Biomedical Ethics and Regulation
  • Electronic Health Records Systems
  • Dementia and Cognitive Impairment Research
  • Advanced Vision and Imaging
  • Heart Rate Variability and Autonomic Control
  • Brain Tumor Detection and Classification
  • Spinal Fractures and Fixation Techniques
  • Image and Video Stabilization
  • Scoliosis diagnosis and treatment
  • Lung Cancer Diagnosis and Treatment
  • Respiratory Support and Mechanisms
  • Neurobiology of Language and Bilingualism
  • Infant Nutrition and Health
  • Advanced X-ray and CT Imaging
  • Osteoarthritis Treatment and Mechanisms

Yonsei University College of Dentistry
2020-2023

Yonsei University
2008-2023

Kangdong Sacred Heart Hospital
2022

Hallym University
2022

This study aims to evaluate the accuracy of impression method using an intraoral scanner and conventional based on implant number angulation with multiple implants. Six implants were placed in maxillary edentulous typodont 3D modeling software. Eight another typodont. The placement for each model was different. designing printing performed produce reference models. These models scanned obtain scan data (RSD). In method, used, a gypsum produced. Scan obtained by lab (Group CI). Models IS)....

10.11607/ijp.9174 article EN The International Journal of Prosthodontics 2025-02-01

Orthopantomogram (OPG) is important for primary diagnosis of temporomandibular joint osteoarthritis (TMJOA), because cost and the radiation associated with computed tomograms (CT). The aims this study were to develop an artificial intelligence (AI) model compare its TMJOA diagnostic performance from OPGs that oromaxillofacial radiology (OMFR) expert. An AI was developed using Karas' ResNet trained classify images into three categories: normal, indeterminate OA, OA. This included 1189 OPG...

10.1038/s41598-021-89742-y article EN cc-by Scientific Reports 2021-05-13

Dental panoramic radiography (DPR) is a method commonly used in dentistry for patient diagnosis. This study presents new technique that combines regional convolutional neural network (RCNN), Single Shot Multibox Detector, and heuristic methods to detect number the teeth implants with only fixtures DPR image. technology highly significant providing statistical information personal identification based on separating images of individual teeth, which serve as basic data various DPR-based AI...

10.3390/app10165624 article EN cc-by Applied Sciences 2020-08-13

Stereoscopic video generation methods can produce stereoscopic content from conventional filmed with monoscopic cameras. In this paper, we propose a method using motion analysis which converts into disparity values and considers multi-user conditions the characteristics of display device. The field view maximum minimum were calculated in characterization stage then applied to various types 3D displays. After estimation, used three cues decide scale factor motion-to-disparity conversion....

10.1109/tbc.2007.914714 article EN IEEE Transactions on Broadcasting 2008-05-29

Lung cancer patients experience various symptoms during treatment. Although pulmonary rehabilitation is an effective way to improve these symptoms, a medical environment of limited availability makes it difficult provide seamless and adequate for lung patients.This study aimed investigate the effects personalized program using real-time mobile patient health data with non-small cell cancer.We conducted prospective clinical trial in 64 aged between 20 80 years at large tertiary hospital...

10.2196/12645 article EN cc-by JMIR mhealth and uhealth 2019-05-06

<sec> <title>BACKGROUND</title> This study proposes an integrated approach to developing personalized health behavior change programs by combining personality traits and types. Existing tools like MBTI DISC have limitations: reflects internal tendencies but lacks behavioral insights, while highlights overlooks deeper aspects. To address these gaps, the integrates create a comprehensive profiling system. </sec> <title>OBJECTIVE</title> The goal of this research is design novel system that...

10.2196/preprints.73397 preprint EN 2025-03-03

Temporomandibular joint osteoarthritis (TMJ OA) is a degenerative condition of the TMJ led by pathological tissue response under mechanical loading. It characterized progressive destruction internal surfaces joint, which can result in debilitating pain and noise. Panoramic imaging be used as basic screening tool with thorough clinical examination diagnosing OA. This paper proposes an algorithm that extract condylar region determine its abnormality using convolutional neural networks (CNNs)...

10.3390/app10217464 article EN cc-by Applied Sciences 2020-10-23

Early detection of tooth-related diseases in patients plays a key role maintaining their dental health and preventing future complications. Since dentists are not overly attentive to that may be difficult judge visually, many miss timely treatment. The 5 representative diseases, is, coronal caries or defect, proximal caries, cervical abrasion, periapical radiolucency, residual root can detected on panoramic images. In this study, web service was constructed for the these images real time,...

10.2196/38640 article EN cc-by JMIR Medical Informatics 2022-10-31

Accurate prediction of postnatal growth failure (PGF) can be beneficial for early intervention and prevention. We aimed to develop a machine learning model predict PGF at discharge among very low birth weight (VLBW) infants using extreme gradient boosting. A total 729 VLBW infants, born between 2013 2017 in four hospitals, were included. was defined as decrease z-score that greater than 1.28. Feature selection addition performed improve the accuracy different time points, including 0, 7, 14,...

10.3390/diagnostics13243627 article EN cc-by Diagnostics 2023-12-08

10.1016/j.apmr.2017.08.153 article EN Archives of Physical Medicine and Rehabilitation 2017-09-23

<sec> <title>BACKGROUND</title> Lung cancer patients experience various symptoms during treatment. Although pulmonary rehabilitation is an effective way to improve these symptoms, a medical environment of limited availability makes it difficult provide seamless and adequate for lung patients. </sec> <title>OBJECTIVE</title> This study aimed investigate the effects personalized program using real-time mobile patient health data with non–small cell cancer. <title>METHODS</title> We conducted...

10.2196/preprints.12645 preprint EN 2018-10-30

Pulmonary rehabilitation (PR) is an evidence-based, multidisciplinary, and comprehensive intervention for patients with chronic respiratory diseases, which has high level of evidence in alleviating symptoms, optimizing functional status, reducing health related costs by stabilizing disease manifestations. Individually tailored PR program based on the candidate’s essential, to optimize outcome, holistic evaluation candidate not only includes physical function assessment but also covers...

10.53476/acpr.2022.2.2.39 article EN cc-by-nc Annals of CardioPulmonary Rehabilitation 2022-12-01
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