Jin Woo Kim
Yonsei University · Medicine
About the Lab
Professor Jin Woo Kim's research lab specializes in biomedical engineering and computational diagnostics, focusing on the development of advanced AI-driven systems for medical imaging analysis and therapeutic applications. The lab integrates machine learning, particularly deep learning and Bayesian neural networks, with clinical imaging such as lateral cephalograms and dental X-rays to improve diagnostic accuracy and automation in orthodontics. Another key research direction involves nanomaterials, especially carbon nanotubes, for photothermal antimicrobial therapy and diagnostic applications. The lab also investigates thermal dynamics in clinical procedures, such as dental implant site preparation, to ensure patient safety and optimize treatment protocols.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Lateral cephalometry has been widely used for skeletal classification in orthodontic diagnosis and treatment planning. However, this conventional system, requiring manual tracing of individual landmarks, contains possible errors of inter- and intravariability and is highly time-consuming. This study aims to provide an accurate and robust skeletal diagnostic system by incorporating a convolutional neural network (CNN) into a 1-step, end-to-end diagnostic system with lateral cephalograms. A multim
As Mobile Internet users grow rapidly, Mobile Internet Companies will be in a fierce race to catch a new customer. In this situation, companies want to identify of what factors make peoples use Mobile Internet in order to develop the effective Mobile Internet services and to supply the higher service quality. However, prior researches on Mobile Internet focused on technical area such as higher data delivery, efficient compression of images, so they do not have given companies beneficial material
BACKGROUND AND OBJECTIVES: Unique properties of carbon nanotubes (CNTs) would open new avenues for addressing challenges to realize rapid and sensitive antimicrobial diagnostics and therapy for human pathogens. In this study, new CNTs' capabilities for photothermal (PT) antimicrobial nanotherapy were explored in vitro using Escherichia coli as a model bacterium. STUDY DESIGN/MATERIALS AND METHODS: Single-walled carbon nanotubes (SWNTs) and multi-walled carbon nanotubes (MWNTs) were incubated wit
BACKGROUND: Despite the integral role of cephalometric analysis in orthodontics, there have been limitations regarding the reliability, accuracy, etc. of cephalometric landmarks tracing. Attempts on developing automatic plotting systems have continuously been made but they are insufficient for clinical applications due to low reliability of specific landmarks. In this study, we aimed to develop a novel framework for locating cephalometric landmarks with confidence regions using Bayesian Convolut
Several types of aggressive cancers, including hepatocellular carcinoma (HCC), often arise as a multifocal primary tumor. This suggests a high rate of premalignant changes in noncancerous tissue before the formation of a solitary tumor. Examination of the messenger RNA expression profiles of tissue samples derived from patients with cirrhosis of various etiologies by complementary DNA (cDNA) microarray indicated that they can be grossly separated into two main groups. One group included hepatiti
Mean values (n=10 drill sequences) for maximum recorded temperature (Max TºC), change in temperature (ΔTºC) from baseline were as follows. The changes in temperature (ΔTºC) were 1.57ºC and 2.46ºC for the lowest and the highest values, respectively. Drilling at 50 rpm without irrigation did not produce overheating. There was no significant difference in heat production between the 3 implant drill systems (p>0.05). No implant drill system produced heat exceeding 47ºC, which is the critical tempera
One step at a time: DNA linkers were placed at defined locations and in defined 3D orientations on a colloidal nanoparticle. Because the implemented ligand-replacement strategy was carried out sequentially, DNA linkers maximally segregated, producing a nanoparticle with linkers at 90 or 180° angles (see picture). These building blocks should enable assembly of anisotropic nanostructures with precisely designed geometry and complex functionality. Detailed facts of importance to specialist readers
Abstract Bioactive food compounds, such as lycopene, curcumin, phytosterols, and resveratrol, have received great attention due to their potential health benefits. However, these bioactive compounds (BCs) have poor chemical stability during processing and low bioavailability after consumption. Several delivery systems have been proposed for enhancing their stability and bioavailability. Among these methods, porous biopolymers have emerged as alternative encapsulation materials, as they have supe
BACKGROUND: Cancer cells recurrently develop into acquired resistance to the administered drugs. The iatrogenic mechanisms of induced chemotherapy-resistance remain elusive and the degree of drug resistance did not exclusively correlate with reductions of drug accumulation, suggesting that drug resistance may involve additional mechanisms. Our aim is to define the potential targets, that makes drug-sensitive MCF-7 breast cancer cells turn to drug-resistant, for the anti-cancer drug development a
AIM: We aimed to investigate the association of periodontitis and oral hygiene indicators with changes in blood lipid parameters in a nationwide, population-based cohort in a longitudinal setting. MATERIALS AND METHODS: We included nationwide health screening program participants who underwent oral health examination in 2009-2010 and follow-up examinations for lipid profile without exposure to lipid-lowering agents. RESULTS: During the 5.19-year median follow-up, 65,078 individuals (mean age at
인공지능 기술의 발달과 함께 다양한 산업에서 인공지능을 결합한 서비스 도입을 시도하고 있으며, 금융권에서는 챗봇을 이용하여 새로운 혁신을 시도하고 있다. 본 연구에서는 UTAUT 모델을 사용하여 성과기대, 노력기대, 사회적 영향, 정보의 신뢰성, 보안의 신뢰성이 챗봇 서비스의 사용의도에 유의미한 영향을 미치는 것을 확인하였다. 본 연구결과는 추후 금융권 챗봇 서비스의 성공적인 도입에 관한 연구에 참고 자료가 될 수 있을 것으로 기대된다.
Research Areas
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