A5016950336- Orthodontics and Dentofacial Orthopedics
- Dental Implant Techniques and Outcomes
- Dental Radiography and Imaging
- Temporomandibular Joint Disorders
- dental development and anomalies
- Obstructive Sleep Apnea Research
- Dental materials and restorations
- Medical Imaging and Analysis
- Craniofacial Disorders and Treatments
- Oral and gingival health research
- Bone Metabolism and Diseases
- Digital Imaging in Medicine
- Dysphagia Assessment and Management
- Polymer Science and Applications
- Periodontal Regeneration and Treatments
- Bone health and treatments
- Human Pose and Action Recognition
- Tracheal and airway disorders
- Radiation Dose and Imaging
- Cleft Lip and Palate Research
- Material Properties and Applications
- Dental Trauma and Treatments
- Aerodynamics and Fluid Dynamics Research
- Advanced X-ray and CT Imaging
- Advanced Theoretical and Applied Studies in Material Sciences and Geometry
Asan Medical Center
2011-2025
Ulsan College
2010-2025
University of Ulsan
2011-2025
Korea University
2021
Korea Automotive Technology Institute
2006
To investigate the accuracy of automated identification cephalometric landmarks using cascade convolutional neural networks (CNN) on lateral cephalograms acquired from nationwide multi-centres.A total 3150 were 10 university hospitals in South Korea for training.We evaluated developed model with independent 100 as an external validation. Two orthodontists independently identified anatomic test data set V-ceph software (version 8.0, Osstem, Seoul, Korea). The mean positions by two regarded...
Orthognathic surgery, or corrective jaw is performed to correct severe dentofacial deformities and increasingly sought for cosmetic purposes. Accurate prediction of surgical outcomes essential selecting the optimal treatment plan ensuring patient satisfaction. Here, we present GPOSC-Net, a generative model orthognathic surgery that synthesizes post-operative lateral cephalograms from pre-operative data. GPOSC-Net consists two key components: landmark estimates post-surgical cephalometric...
To investigate the pattern of accuracy change in artificial intelligence-assisted landmark identification (LI) using a convolutional neural network (CNN) algorithm serial lateral cephalograms (Lat-cephs) Class III (C-III) patients who underwent two-jaw orthognathic surgery.A total 3,188 Lat-cephs C-III were allocated into training and validation sets (3,004 751 patients) test set (184 46 patients; subdivided genioplasty non-genioplasty groups, n = 23 per group) for LI. Each patient had four...
The aim of this study was to investigate the three-dimensional (3D) position center resistance 4 mandibular anterior teeth, 6 and complete dentition by using 3D finite-element analysis.Finite-element models included dentition, periodontal ligament, alveolar bone. crowns teeth in each group were fixed with buccal lingual arch wires splint minimize individual tooth movement evenly disperse forces onto teeth. Each subdivided into 0.5-mm intervals horizontally vertically, a force 200 g applied...
Abstract Background This study aimed to assess the error range of cephalometric measurements based on landmarks detected using cascaded CNNs and determine how horizontal vertical positional errors individual affect lateral measurements. Methods In total, 120 cephalograms were obtained consecutively from patients (mean age, 32.5 ± 11.6) who visited Asan Medical Center, Seoul, Korea, for orthodontic treatment between 2019 2021. An automated analysis model previously developed a nationwide...
Abstract The study aimed to identify critical factors associated with the surgical stability of pogonion (Pog) by applying machine learning (ML) predict relapse following two-jaw orthognathic surgery (2 J-OGJ). sample set comprised 227 patients (110 males and 117 females, 207 training 20 test sets). Using lateral cephalograms taken at initial evaluation (T0), pretreatment (T1), after (T2) 2 J-OGS, post treatment (T3), 55 linear angular skeletal dental movements (T2-T1) were measured. Six ML...
Three-dimensional finite element analysis of the deformation human mandible: a preliminary study from perspective orthodontic miniimplant stabilityObjective: The aims this were to investigate mandibular under clenching and estimate its effect on stability miniimplants (OMI).Methods: Three models constructed using computed tomography (CT) images 3 adults with different plane angles (A, low; B, average; C, high).An OMI was placed between #45 #46 in each model.Mandibular premolar molar...
To estimate the projected cancer risk attributable to diagnostic cone-beam computed tomography (CBCT) performed under different exposure settings for orthodontic purposes in children and adults.We collected a list of CBCT machines their specifications from 38 orthodontists. Organ doses were estimated using median maximum 105 kVp/156.8 mAs 130 kVp/200 mAs, respectively. The procedures 1-3 times within 2 years was calculated (aged 5 10 years) adult 20, 30, 40 male female patients.For settings,...
Abstract The aim of this study was to develop an auto-segmentation algorithm for mandibular condyle using the 3D U-Net and perform a stress test determine optimal dataset size achieving clinically acceptable accuracy. 234 cone-beam computed tomography images condyles were acquired from 117 subjects two institutions, which manually segmented generate ground truth. Semantic segmentation performed basic cascaded U-Net. A different sets condylar as training, validation, datasets. Relative...
191 Assistant Professor, Division of Orthodontics, Department Dentistry, School Medicine, Ewha Womans University. Visiting Scholar, University Nebraska Medical Center. Former Student, Graduate Clinical Associate College The Catholic Korea, St. Mary’s Hospital. Ulsan Asan Mechanical and Automobile Engineering, Kunsan National Corresponding author: Youn-Sic Chun. University, 911-1 Mok-dong, Yangcheon-gu, Seoul 158-710, Korea. +82 2 2650 5114; e-mail, yschun@ewha.ac.kr. Received August 27,...
폐쇄성 수면무호흡(obstructive sleep apnea, OSA)은 수면 중에 반복적으로 상기도의 완전폐쇄나 부분폐쇄가 일어나는 질환으로서 흡기된 공기는 반드시 상기도라는 연조직 관(tube) 구조를 통과해야 하므로 폐쇄경향은 관의 형태 및 관을 통과하는 공기의 유체역학적 특성에 따라서도 큰 영향을 받을 수 있다. 본 연구에서는 OSA 환자 3인의 치료 전 상기도 CT 이미지를 이용하여 개별화된 3차원 유한요소모델 A, B, C를 제작하고, 비공 당 170, 200, 230 ml/s의 흡기유량에 대하여 전산유체역학 해석을 시행하였다. 유속, 음압 그리고 압력강하를 측정한 결과 관찰된 3개의 모델에서 모두 단면적이 가장 작은 부위에서 유속이 증가하였고, 음압이 크게 나타났다. 기도의 형태는 구개인두와 구인두 좁아지는 형태를 가지며, 최소 단면적 영역과 하인두 단면적의 차이가 클수록 유속과 음압의 변화가 비강 부위의 최고 압력과 영역의 최저 압력의 차이를 의미하는 압력강하는...
Sung-Hoon Han, Jisup Lim, Jun-Sik Kim, Jin-Hyoung Cho, Mihee Hong, Minji Su-Jung Yoon-Ji Young Ho Sang Jin Sung, Kyung-Hwa Kang, Seung-Hak Baek, Sung-Kwon Choi, Namkug Kim. Korean J Orthod -0001;0:. https://doi.org/10.4041/kjod23.075
Abstract To compare the accuracy of artificial intelligence-assisted landmark identification in serial lateral cephalograms Class III patients who underwent two-jaw orthognathic surgery using a convolutional neural network (CNN) algorithm. 3,188 were allocated into training and validation sets (3,004 751 patients) test set (184 46 patients; subdivided genioplasty non-genioplasty groups, n=23 per group)]. Each patient had four cephalograms: initial (T0), pre-surgery [T1, presence orthodontic...