연구성과로 돌아가기
2023 연구성과 (31 / 285)
※ 컨트롤 + 클릭으로 열별 다중 정렬 가능합니다.
Excel 다운로드
| WoS | SCOPUS | Document Type | Document Title | Abstract | Authors | Affiliation | ResearcherID (WoS) | AuthorsID (SCOPUS) | Author Email(s) | Journal Name | JCR Abbreviation | ISSN | eISSN | Volume | Issue | WoS Edition | WoS Category | JCR Year | IF | JCR (%) | FWCI | FWCI Update Date | WoS Citation | SCOPUS Citation | Keywords (WoS) | KeywordsPlus (WoS) | Keywords (SCOPUS) | KeywordsPlus (SCOPUS) | Language | Publication Stage | Publication Year | Publication Date | DOI | JCR Link | DOI Link | WOS Link | SCOPUS Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ○ | ○ | Article | Toward practical and plausible counterfactual explanation through latent adjustment in disentangled space | Extensive research into eXplainable AI (XAI) has raised interest in generating counterfactual (CF) explanations. In the past, minimizing the perturbation of input was considered a priority aspect of CF for the benefit of user practicality. However, closeness to the CF data manifold, indicating plausibility, is now emerging as another important property of CF. Thus, we propose a novel framework for generating practical and plausible CFs by minimally perturbing the semantic information of inputs in a disentangled latent space of a generative adversarial network (GAN). Considering the possibility of linear change of semantic information in a disentangled latent space, we obtain the desired CFs using proposed algorithms that adjust the input latents and reference CF latents derived using an optimization-based GAN inversion method . The results of qualitative and quantitative experiments on several datasets from different domains demonstrate the superiorit y and versatility of our framework. In comparative experiments, it not only achieves 1.0 Validity for test samples from a l l datasets but also achieves the minimum values of 0.07 Dissimilarity, 5.96 Rec. Error, 0.94 IM1, and 0.01 Infer. Time for the MNIST dataset. | Na, Seung-Hyup; Nam, Woo-Jeoung; Lee, Seong-Whan | Korea Univ, Dept Artificial Intelligence, 145 Anam Ro, Seoul 02841, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, 80 Daehak Ro, Daegu 41566, South Korea | 58143202300; 57212464991; 7601390519 | naash@korea.ac.kr;nwj0612@knu.ac.kr;sw.lee@korea.ac.kr; | EXPERT SYSTEMS WITH APPLICATIONS | EXPERT SYST APPL | 0957-4174 | 1873-6793 | 233 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;ENGINEERING, ELECTRICAL & ELECTRONIC;OPERATIONS RESEARCH & MANAGEMENT SCIENCE | 2023 | 7.5 | 5.2 | 0.7 | 2025-06-25 | 7 | 7 | Latent interpolation; Post-hoc explanation; GAN inversion | GAN inversion; Latent interpolation; Post-hoc explanation | Pattern recognition; Semantics; Software engineering; Counterfactuals; Data manifolds; Generative adversarial network inversion; Inversion methods; Latent interpolation; Network inversion; Optimisations; Post-hoc explanation; Property; Semantics Information; Generative adversarial networks | English | 2023 | 2023-12-15 | 10.1016/j.eswa.2023.120982 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | Article | Cell chip device for real-time monitoring of drug release from drug-laden microparticles | A cell chip is a microfluidic cell culture device fabricated using microchip manufacturing methods for culturing living cells in a micrometer-sized chamber to model the physiological functions of tissues and organs. It has been extensively investigated in the domain of drug transport and toxicity research. Herein, we developed a cell chip for real-time monitoring of drug release from drug carriers. The proposed system integrates three core functions: cell culture, real-time analysis, and drug delivery tests. This device was designed to be loaded with microparticles for drug release and to enable real-time drug measurement. The efficacy of the developed system was evaluated by measuring the concentration of drugs released from the microparticles prepared with poly(lactic-co-glycolic acid) (PLGA). Doxorubicin, an anticancer drug, was used as a model drug and A549 cells, a type of lung cancer cell, were simultaneously cultured to compare the drug release concentrations in the presence of cells. Furthermore, variations in cell viability with respect to the presence of drug-loaded microparticles were observed and analyzed. Notably, as the proposed system requires an extremely small number of microparticles, it affords simple implementation in a single device, thereby eliminating the need for complex accessories and instruments for analysis. Thus, the analysis process becomes more convenient and cost-efficient. Thus, the proposed method offers an easy analysis of the release behavior of various cells and drugs. The simplicity and low cost of this innovative system without sacrificing analytical precision demonstrate its potential for applications across various fields. © 2024 The Royal Society of Chemistry. | Choi, Hye Jin; Shin, Min Chul; Han, Ji Hwan; Kim, Gyu Man | School of Mechanical Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu, 41566, South Korea; School of Mechanical Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu, 41566, South Korea; School of Mechanical Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu, 41566, South Korea; School of Mechanical Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu, 41566, South Korea | 57203969417; 57226714930; 58132023300; 55664733000 | gyuman.kim@knu.ac.kr; | Lab on a Chip | LAB CHIP | 1473-0197 | 1473-0189 | 24 | 2 | SCIE | BIOCHEMICAL RESEARCH METHODS;CHEMISTRY, ANALYTICAL;CHEMISTRY, MULTIDISCIPLINARY;INSTRUMENTS & INSTRUMENTATION;NANOSCIENCE & NANOTECHNOLOGY | 2023 | 6.1 | 5.3 | 0.24 | 2025-06-25 | 2 | Drug Carriers; Drug Delivery Systems; Drug Liberation; Lactic Acid; Microspheres; Particle Size; Polyglycolic Acid; Polylactic Acid-Polyglycolic Acid Copolymer; Controlled drug delivery; Cost benefit analysis; Drug products; Physiological models; Targeted drug delivery; doxorubicin; drug carrier; polyglactin; drug carrier; lactic acid; microsphere; polyglycolic acid; Cell chips; Chip devices; Drug release; Drug transport; Living cell; Manufacturing methods; Micro particles; Microfluidic cell culture devices; Physiological functions; Real time monitoring; A-549 cell line; Article; cell survival; cell viability; cell viability assay; controlled study; drug monitoring; equipment design; field emission scanning electron microscopy; fluorescence microscopy; in vitro study; measurement; microfluidics; microtechnology; mitochondrion; particle size; reaction analysis; sustained drug release; ultraviolet spectroscopy; drug delivery system; drug release; Cell culture | English | Final | 2023 | 10.1039/d3lc00798g | 바로가기 | 바로가기 | 바로가기 | ||||||||
| ○ | ○ | Article | High-throughput multi-gate microfluidic resistive pulse sensing for biological nanoparticle detection | A microfluidic resistive pulse sensing technique offers a simple method for detecting and analysing microparticles in various fields, yet it has challenges such as the noise during detection and low throughput as the signal obtained from a small single sensing aperture and particle position is nonuniform. This study presents a microfluidic chip with multiple detection gates in the main channel to enhance the throughput while maintaining a simple operational system. A hydrodynamic sheathless particle focusing on a detection gate by modulation of the channel structure and measurement circuit with a reference gate to minimize the noise during detection is used for detecting resistive pulses. The proposed microfluidic chip can analyse the physical properties of 200 nm polystyrene particles and exosomes from MDA-MB-231 with high sensitivity with an error of <10% and high-throughput screening of more than 200 000 exosomes per seconds. The proposed microfluidic chip can analyse the physical properties with high sensitivity, so that it can be potentially used for exosome detection in biological and in vitro clinical applications. | Kim, June Soo; Kwon, Soon Yeol; Lee, Jae Yong; Kim, Seung Deok; Kim, Da Ye; Kim, Hyunjun; Jang, Noah; Wang, Jiajie; Han, Maeum; Kong, Seong Ho | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea | 57314355500; 57223360705; 57223374818; 57223370762; 57279831500; 59446567300; 58130629700; 58130764600; 55931924500; 57204537951 | shkong@knu.ac.kr; | LAB ON A CHIP | LAB CHIP | 1473-0197 | 1473-0189 | 23 | 7 | SCIE | BIOCHEMICAL RESEARCH METHODS;CHEMISTRY, ANALYTICAL;CHEMISTRY, MULTIDISCIPLINARY;INSTRUMENTS & INSTRUMENTATION;NANOSCIENCE & NANOTECHNOLOGY | 2023 | 6.1 | 5.3 | 0.96 | 2025-06-25 | 9 | 9 | SOLID-STATE NANOPORES; PARTICLES; FABRICATION; CELLS; FLOW | Hydrodynamics; Microfluidic Analytical Techniques; Microfluidics; Nanoparticles; Polystyrenes; Microfluidics; Physical properties; electrolyte solution; nanoparticle; polystyrene; polystyrene derivative; Exosomes; High sensitivity; High-throughput; Micro particles; Microfluidic-chips; Multiple detection; Particle position; Resistive pulse sensing; Sensing techniques; SIMPLE method; Article; comparative study; electric field; equipment design; exosome; high throughput screening; hydrodynamics; in vitro study; MDA-MB-231 cell line; microfluidics; noise; particle size; photon correlation spectroscopy; signal detection; microfluidic analysis; microfluidics; procedures; Microfluidic chips | English | 2023 | 2023-03-28 | 10.1039/d2lc01064j | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Light-sensitive and strain-controlled flexible DNA/graphene/GaN bio-hybrid sensor based on the piezophototronic effect | A significant need exists for high-sensitivity, high-flexibility, and low-power piezophototronic sensors (PS) capable of monitoring small deformations or vibrations and polarization-sensitive photodetection in critical situations. Recently, interest in flexible optoelectronics has been initiated with the incorporation of biomolecules into photoelectric and piezoelectric principles, particularly because of the rapid development of organic inorganic-based bio-hybrid PSs (Bio-HPSs). In this study, we provide a novel method for fabricating flexible, light-sensitive Bio-HPS based on the piezophototronic effect by employing DNA biomolecules on a graphene/ GaN substrate. Flexible Bio-HPSs are responsive to infrared, halogen, and ultraviolet (UV) wavebands. Furthermore, in the dark, the flexible Bio-HPS displayed a gauge factor of 459 at an applied compressive strain of-0.32%. Furthermore, the gauge factors for the infrared, halogen, and UV wavelengths increased to 645, 788, and 898, respectively, under the same strain conditions. The integration of high-mobility graphene with DNA biomolecules on a GaN substrate through the piezophototronic effect may be the cause of the fluctuation in gauge factor values under various lighting conditions. These findings facilitate adaptable applications in real-world industries such as soft robotics, healthcare, and artificial intelligence. | Mallem, Siva Pratap Reddy; Puneetha, Peddathimula; Lee, Dong-Yeon; Park, Kwi-Il; Kim, Dongseob; An, Sung Jin; Shim, Jaesool | Kumoh Natl Inst Technol, Adv Mat Res Ctr, Gumi 39177, South Korea; Yeungnam Univ, Coll Mech & IT Engn, Dept Robot & Intelligent Machine Engn, Gyongsan 38541, South Korea; Kyungpook Natl Univ, Sch Mat Sci & Engn, Daegu 41566, South Korea; Korea Inst Ind Technol KITECH, Sch Adv Mechatron R&D Grp, Daegu 42994, South Korea; Kumoh Natl Inst Technol, Dept Mat Sci & Engn, Gumi 39177, South Korea; Yeungnam Univ, Sch Mech Engn, Gyongsan 38541, South Korea | Park, Kwiil/LKN-9445-2024; An, Sung/A-2869-2009; An, Sung Jin/A-2869-2009; Lee, Dong-Yeon/I-7299-2019 | 55422639100; 56354594100; 55698936200; 35280874200; 56109739900; 58349582600; 16040548500 | kipark@knu.ac.kr;yusae@kitech.re.kr;sungjinan@kumoh.ac.kr;jshim@ynu.ac.kr; | NANO ENERGY | NANO ENERGY | 2211-2855 | 2211-3282 | 116 | SCIE | CHEMISTRY, PHYSICAL;MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY;PHYSICS, APPLIED | 2023 | 16.8 | 5.3 | 0.71 | 2025-06-25 | 7 | 7 | Flexible GaN film; DNA biomolecule; Graphene layer; Strain-modulated; Piezophototronic effect | ULTRAVIOLET PHOTODETECTOR; ELECTRONIC-PROPERTIES; DNA; GRAPHENE; DIODE; FILM; PHOTORESPONSE; PERFORMANCE; NANODEVICES; PHOTODIODE | DNA biomolecule; Flexible GaN film; Graphene layer; Piezophototronic effect; Strain-modulated | Biomolecules; DNA; Gages; Gallium nitride; organic-inorganic materials; Photosensitivity; Bio-hybrids; DNA biomolecule; Flexible GaN film; Gage factors; GaN film; GaN substrate; Graphene layers; Piezo-phototronic effects; Strain-controlled; Strain-modulated; Graphene | English | 2023 | 2023-11 | 10.1016/j.nanoen.2023.108807 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Review | Smart data processing for energy harvesting systems using artificial intelligence | Recent substantial advancements in computational techniques, particularly in artificial intelligence (AI) and machine learning (ML), have raised the demand for smart self-powered devices. But since energy use is a worldwide issue that needs to be resolved immediately, cutting-edge technology should reduce energy con-sumption without affecting smart applications. Energy harvesting technology convert mechanical vibrations from the environment into electrical energy. Emerging AI technology which intends to meet the challenges of real world applications has open an interesting platform for some energy harvesting technologies, particularly piezoelectric nanogenerators (PENG) and triboelectric nanogenerators (TENG). In this context, advancements in AI technologies for data processing in PENG and TENG are discussed. A brief discussion about the combination of NG output with machine learning algorithms applied to a range of applications, such as robotics, intelligent security systems, medical systems, sports, acoustic sensors, and object recognition, is provided. The primary challenges and potential alternatives of these technologies are also discussed. | Divya, S.; Panda, Swati; Hajra, Sugato; Jeyaraj, Rathinaraja; Paul, Anand; Park, Sang Hyun; Kim, Hoe Joon; Oh, Tae Hwan | Yeungnam Univ, Sch Chem Engn, Gyongsan 712749, South Korea; Daegu Gyeongbuk Inst Sci & Technol, Dept Robot & Mechatron Engn, Daegu 42988, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 702701, South Korea | Hajra, Sugato/AFT-9376-2022; Kim, Hoe Joon/ABG-7622-2022; Paul, Anand/V-6724-2017; Jeyaraj, Rathinaraja/ABB-7781-2021 | 57212836968; 57642261800; 57202436777; 57203111601; 56650522400; 57188954175; 55502950800; 57213539906 | divi.fysics@gmail.com;joonkim@dgist.ac.kr;taehwanoh@ynu.ac.kr; | NANO ENERGY | NANO ENERGY | 2211-2855 | 2211-3282 | 106 | SCIE | CHEMISTRY, PHYSICAL;MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY;PHYSICS, APPLIED | 2023 | 16.8 | 5.3 | 2.95 | 2025-06-25 | 64 | 77 | Artificial intelligence; Energy harvesting; Smart systems; Human-machine interface; Robotics | TRIBOELECTRIC NANOGENERATOR; PHYSICAL-ACTIVITY; SENSOR NETWORK; HUMAN VOICE; HEALTH; RECOGNITION; CHALLENGES; INTERNET; CONTACT; DESIGN | Artificial intelligence; Energy harvesting; Human-machine interface; Robotics; Smart systems | Data handling; Energy utilization; Learning algorithms; Machine learning; Nanogenerators; Object recognition; Vibrations (mechanical); Artificial intelligence learning; Artificial intelligence technologies; Computational technique; Energy harvesting systems; Human Machine Interface; Machine-learning; Nanogenerators; Piezoelectric nanogenerator; SMART datum; Smart System; Robotics | English | 2023 | 2023-02 | 10.1016/j.nanoen.2022.108084 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | Erratum | Erratum: Pre-DEMO: Preference-Inspired Differential Evolution for Multi/Many-Objective Optimization (IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS (2023) DOI: 10.1109/TSMC.2023.3298690) | In [1], in Section III-B (Algorithm 3) and Section III-E (Algorithm 5), there are mistakes regarding the equation numbers that are referred to in these algorithms. © 2013 IEEE. | Palakonda, Vikas; Kang, Jae-Mo | Kyungpook National University, Department of Artificial Intelligence, Daegu, 41566, South Korea; Kyungpook National University, Department of Artificial Intelligence, Daegu, 41566, South Korea | 57193028485; 56024930400 | jmkang@knu.ac.kr; | IEEE Transactions on Systems, Man, and Cybernetics: Systems | IEEE T SYST MAN CY-S | 2168-2216 | 2168-2232 | 53 | 12 | SCIE | AUTOMATION & CONTROL SYSTEMS;COMPUTER SCIENCE, CYBERNETICS | 2023 | 8.6 | 5.4 | 0 | 2025-06-25 | 0 | English | Final | 2023 | 10.1109/tsmc.2023.3316368 | 바로가기 | 바로가기 | 바로가기 | |||||||||
| ○ | ○ | Article | Exploring the role of flow experience and telepresence in virtual reality (VR) concerts | This study investigates how implementing VR technology in live music concerts impacts participants' emotional perceptions and subsequent behaviors, drawing upon the flow theory. The findings demonstrate that the perceived flow experience of VR concert attendees, encompassing cognitive absorption, time distortion, and enjoyment, significantly influences positive affects, subjective well-being, and post-behaviors. Moreover, the degree of telepresence moderates the relationship between flow experience and positive affects in the VR concert setting. The study provides in-depth theoretical and practical implications stemming from these findings and suggests avenues for future research. | Kim, Hyelin (Lina); Kim, Sung-Eun; Park, Kwangsoo; Tennessee, Sherrie | Univ Nevada, William F Harrah Coll Hospitality, Las Vegas, NV USA; Kyungpook Natl Univ, Dept Tourism, Sangju, South Korea; Purdue Univ Northwest, White Lodging Sch Hospitality & Tourism Management, Hammond, IN USA | ; Park, Kwangsoo/AAF-6233-2021 | 56324575700; 57193428401; 55935083800; 58681114200 | sekim@knu.ac.kr; | JOURNAL OF TRAVEL & TOURISM MARKETING | J TRAVEL TOUR MARK | 1054-8408 | 1540-7306 | 40 | 7 | SSCI | HOSPITALITY, LEISURE, SPORT & TOURISM | 2023 | 8.2 | 5.4 | 1.15 | 2025-06-25 | 15 | 16 | Flow experience; telepresence; subjective well-being; virtual reality; VR concert | POSITIVE AFFECT; COGNITIVE ABSORPTION; TOURISM; MODEL; ENVIRONMENTS; ANTECEDENTS; VISITORS; SERVICE; IMPACT; SATISFACTION | Flow experience; subjective well-being; telepresence; virtual reality; VR concert | English | 2023 | 2023-09-02 | 10.1080/10548408.2023.2276437 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Pre-DEMO: Preference-Inspired Differential Evolution for Multi/Many-Objective Optimization | Differential evolution (DE) has emerged as an effective technique for single-objective optimization problems (SOPs). Due to its efficient and straightforward framework, it has been extended further to address multiobjective optimization problems (MOPs). However, the existing multiobjective DE (MODE) algorithms focus on developing control strategies of mutation operators and parameters for a given population at every iteration, regardless of whether the population has insufficient distributions in objective space. Furthermore, several technical challenges exist when extending MODE approaches to deal with many-objective optimization problems (MaOPs). To break through such limitations, in this article, we propose a preference-inspired DE for multi and many-objective optimization (Pre-DEMO), which effectively and efficiently deals with a wide range of MOPs and MaOPs. First, a preference-inspired mutation operator is developed to generate individuals with good convergence and distribution properties. The local knee points are obtained among the nondominated individuals to articulate preferences in the mutation operator. Also, an adaptive strategy based on a clustering method is proposed to determine the local knee points. Second, a two-stage environmental selection is suggested in Pre-DEMO to preserve promising individuals for the next generations. Experimental results demonstrate that the Pre-DEMO approach outperforms the eight state-of-the-art algorithms on 35 benchmark problems. | Palakonda, Vikas; Kang, Jae-Mo | Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea | 57193028485; 56024930400 | jmkang@knu.ac.kr; | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | IEEE T SYST MAN CY-S | 2168-2216 | 2168-2232 | 53 | 12 | SCIE | AUTOMATION & CONTROL SYSTEMS;COMPUTER SCIENCE, CYBERNETICS | 2023 | 8.6 | 5.4 | 2.08 | 2025-06-25 | 17 | 19 | Differential evolution (DE); many-objective optimization; multiobjective optimization; preference-inspired mutation; two-stage selection | ALGORITHM | Differential evolution (DE); many-objective optimization; multiobjective optimization; preference-inspired mutation; two-stage selection | Evolutionary algorithms; Iterative methods; Vehicle to vehicle communications; Benchmark testing; Convergence; Differential Evolution; Many-objective optimizations; Multi-objectives optimization; Optimisations; Preference-inspired mutation; Space communications; Two-stage selection; Vehicle's dynamics; Multiobjective optimization | English | 2023 | 2023-12 | 10.1109/tsmc.2023.3298690 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Self-Repairing Corrective Control for Input/Output Asynchronous Sequential Machines With Transient Faults | Fault-tolerant corrective control for input/output asynchronous sequential machines (ASMs) is studied in this article. In the present problem setting, not only the controlled ASM but also the corrective controller itself is vulnerable to transient faults. The fault outcome is aggravated when the transient fault occurs to the controller, since the adverse effect of the fault is propagated toward the controlled ASM. We first address a scheme of diagnosing transient faults by designing the state observer that induces the resultant faulty state based on the output burst. We then present the existence condition and design algorithm for a corrective controller that recovers the normal behavior of the closed-loop system against transient faults at the ASM, while achieving self-repair against those faults occurring to the controller. Hardware experiments on field-programmable gate array (FPGA) circuits are provided to validate the applicability of the proposed control methodology. | Yang, Jung-Min; Kwak, Seong Woo | Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea; Pukyong Natl Univ, Dept Control & Instrumentat Engn, Pusan 48513, South Korea | 57208450551; 59816855300 | jmyang@ee.knu.ac.kr;ksw@pknu.ac.kr; | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | IEEE T SYST MAN CY-S | 2168-2216 | 2168-2232 | 53 | 6 | SCIE | AUTOMATION & CONTROL SYSTEMS;COMPUTER SCIENCE, CYBERNETICS | 2023 | 8.6 | 5.4 | 0.22 | 2025-06-25 | 2 | 2 | Asynchronous sequential machines (ASMs); corrective control; fault tolerance; field-programmable gate array (FPGA); input; output control; self-repair | OUTPUT-FEEDBACK CONTROL | Asynchronous sequential machines (ASMs); corrective control; fault tolerance; field-programmable gate array (FPGA); input/output control; self-repair | Closed loop systems; Computer circuits; Controllers; Field programmable gate arrays (FPGA); Integrated circuit design; Logic gates; Repair; Sequential machines; Asynchronoi sequential machine; Asynchronous sequential machines; Corrective control; Field programmables; Field-programmable gate array; Input-output; Input/output control; Output control; Programmable gate array; Self repair; Fault tolerance | English | 2023 | 2023-06 | 10.1109/tsmc.2022.3225870 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis | Background: The unprecedented speed of COVID-19 vaccine development and approval has raised public concern about its safety. However, studies on public discourses and opinions on social media focusing on adverse events (AEs) related to COVID-19 vaccine are rare. Objective: This study aimed to analyze Korean tweets about COVID-19 vaccines (Pfizer, Moderna, AstraZeneca, Janssen, and Novavax) after the vaccine rollout, explore the topics and sentiments of tweets regarding COVID-19 vaccines, and examine their changes over time. We also analyzed topics and sentiments focused on AEs related to vaccination using only tweets with terms about AEs. Methods: We devised a sophisticated methodology consisting of 5 steps: keyword search on Twitter, data collection, data preprocessing, data analysis, and result visualization. We used the Twitter Representational State Transfer application programming interface for data collection. A total of 1,659,158 tweets were collected from February 1, 2021, to March 31, 2022. Finally, 165,984 data points were analyzed after excluding retweets, news, official announcements, advertisements, duplicates, and tweets with <2 words. We applied a variety of preprocessing techniques that are suitable for the Korean language. We ran a suite of analyses using various Python packages, such as latent Dirichlet allocation, hierarchical latent Dirichlet allocation, and sentiment analysis. Results: The topics related to COVID-19 vaccines have a very large spectrum, including vaccine-related AEs, emotional reactions to vaccination, vaccine development and supply, and government vaccination policies. Among them, the top major topic was AEs related to COVID-19 vaccination. The AEs ranged from the adverse reactions listed in the safety profile (eg, myalgia, fever, fatigue, injection site pain, myocarditis or pericarditis, and thrombosis) to unlisted reactions (eg, irregular menstruation, changes in appetite and sleep, leukemia, and deaths). Our results showed a notable difference in the topics for each vaccine brand. The topics pertaining to the Pfizer vaccine mainly mentioned AEs. Negative public opinion has prevailed since the early stages of vaccination. In the sentiment analysis based on vaccine brand, the topics related to the Pfizer vaccine expressed the strongest negative sentiment. Conclusions: Considering the discrepancy between academic evidence and public opinions related to COVID-19 vaccination, the government should provide accurate information and education. Furthermore, our study suggests the need for management to correct the misinformation related to vaccine-related AEs, especially those affecting negative sentiments. This study provides valuable insights into the public discourses and opinions regarding COVID-19 vaccination. | Park, Susan; Suh, Young-Kyoon | Seoul Natl Univ, Inst Hlth & Environm, Seoul, South Korea; Chung Ang Univ, Inst Community Care & Hlth Equ, Seoul, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea; Kyungpook Natl Univ, Dept Data Convergence Comp, Daegu, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, 80 Daehak ro, Daegu 41566, South Korea | ; Park, Susan/JRY-5671-2023 | 57964951700; 55443739900 | yksuh@knu.ac.kr; | JOURNAL OF MEDICAL INTERNET RESEARCH | J MED INTERNET RES | 1438-8871 | 25 | SCIE | HEALTH CARE SCIENCES & SERVICES;MEDICAL INFORMATICS | 2023 | 5.8 | 5.5 | 1.15 | 2025-06-25 | 7 | 9 | COVID-19; vaccine; vaccination; Pfizer; Moderna; AstraZeneca; Janssen; Novavax | OPINION; NUMBER | AstraZeneca; COVID-19; Janssen; Moderna; Novavax; Pfizer; vaccination; vaccine | COVID-19; COVID-19 Vaccines; Female; Humans; Republic of Korea; Sentiment Analysis; Social Media; Vaccines; SARS-CoV-2 vaccine; vaccine; appetite disorder; Article; coronavirus disease 2019; data analysis; discourse analysis; drug safety; education; fatigue; fever; government; health care policy; human; injection site pain; leukemia; menstrual irregularity; mortality; myalgia; myocarditis; pericarditis; public opinion; sentiment analysis; sleep disorder; social media; South Korea; thrombosis; vaccination; vaccine development; adverse event; female; prevention and control; South Korea | English | 2023 | 2023-01-31 | 10.2196/42623 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | A Novel Framework of Failure Localization in Optical Transport Network | This article presents a novel and efficient failure localization framework in Optical Transport Network (OTN), called Instance Correlation based Failure Localization (IC-FL). Specifically, IC-FL aims to localize faulty network devices in the OTN optical layer via correlation among the state changes of network devices and alarms using a trained binary classifier. Extensive case studies on single-board failure and regional failure are carried out to show the advantages seized by the proposed IC-FL via a suite of evaluation metrics and analyze its performance under distinct environmental variations such as network topology and traffic distribution. | Jiao, Yan; Ho, Pin-Han; Lu, Xiangzhu; Tapolcai, Janos; Peng, Limei | Univ Waterloo, Waterloo, ON N2L 3G1, Canada; UESTC, Shenzhen Inst Adv Study, Chengdu, Peoples R China; Budapest Univ Technol & Econ, Budapest, Hungary; Kyungpook Natl Univ, Daegu, South Korea | János, Tapolcai/B-4531-2017 | 57439024000; 7402211578; 58535452200; 6506252092; 7201574271 | y42jiao@uwaterloo.ca;p4ho@uwaterloo.ca;x244lu@uwaterloo.ca;tapolcai@tmit.bme.hu;auroraplm@knu.ac.kr; | IEEE COMMUNICATIONS MAGAZINE | IEEE COMMUN MAG | 0163-6804 | 1558-1896 | 61 | 12 | SCIE | ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2023 | 8.3 | 5.5 | 0.35 | 2025-06-25 | 1 | 4 | Correlation; Location awareness; Integrated optics; Optical sensors; Optical network units; Network topology; Optical propagation | Fiber optic networks; Integrated circuits; Integrated optics; Optical correlation; Optical sensors; Binary classifiers; Case-studies; Correlation; Localisation; Location awareness; Network devices; Network topology; Optical layers; Optical network units; Optical transport networks; Topology | English | 2023 | 2023-12 | 10.1109/mcom.006.2300243 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Review | Accuracy of Augmented Reality-Assisted Navigation in Dental Implant Surgery: Systematic Review and Meta-analysis | Background: The novel concept of immersive 3D augmented reality (AR) surgical navigation has recently been introduced in the medical field. This method allows surgeons to directly focus on the surgical objective without having to look at a separate monitor. In the dental field, the recently developed AR-assisted dental implant navigation system (AR navigation), which uses innovative image technology to directly visualize and track a presurgical plan over an actual surgical site, has attracted great interest. Objective: This study is the first systematic review and meta-analysis study that aimed to assess the accuracy of dental implants placed by AR navigation and compare it with that of the widely used implant placement methods, including the freehand method (FH), template-based static guidance (TG), and conventional navigation (CN). Methods: Individual search strategies were used in PubMed (MEDLINE), Scopus, ScienceDirect, Cochrane Library, and Google Scholar to search for articles published until March 21, 2022. This study was performed in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and registered in the International Prospective Register of Systematic Reviews (PROSPERO) database. Peer-reviewed journal articles evaluating the positional deviations of dental implants placed using AR-assisted implant navigation systems were included. Cohen d statistical power analysis was used to investigate the effect size estimate and CIs of standardized mean differences (SMDs) between data sets. Results: Among the 425 articles retrieved, 15 articles were considered eligible for narrative review, 8 articles were considered for single-arm meta-analysis, and 4 were included in a 2-arm meta-analysis. The mean lateral, global, depth, and angular deviations of the dental implant placed using AR navigation were 0.90 (95% CI 0.78-1.02) mm, 1.18 (95% CI 0.95-1.41) mm, 0.78 (95% CI 0.48-1.08) mm, and 3.96 degrees (95% CI 3.45 degrees-4.48 degrees), respectively. The accuracy of AR navigation was significantly higher than that of the FH method (SMD=-1.01; 95% CI -1.47 to -0.55; P<.001) and CN method (SMD=-0.46; 95% CI -0.64 to -0.29; P<.001). However, the accuracies of the AR navigation and TG methods were similar (SMD=0.06; 95% CI -0.62 to 0.74; P=.73). Conclusions: The positional deviations of AR-navigated implant placements were within the safety zone, suggesting clinically acceptable accuracy of the AR navigation method. Moreover, the accuracy of AR implant navigation was comparable with that of the highly recommended dental implant-guided surgery method, TG, and superior to that of the conventional FH and CN methods. This review highlights the possibility of using AR navigation as an effective and accurate immersive surgical guide for dental implant placement. | Mai, Hang-Nga; Dam, Van Viet; Lee, Du-Hyeong | Kyungpook Natl Univ, Inst Translat Res Dent, Daegu, South Korea; Hanoi Univ Business & Technol, Hanoi, Vietnam; Hanoi Natl Hosp Odonto Stomatol, Dept Implantol, Hanoi, Vietnam; Vietnam Natl Univ, VNU Sch Med & Pharm, Hanoi, Vietnam; Kyungpook Natl Univ, Sch Dent, Dept Prosthodont, Daegu, South Korea; Kyungpook Natl Univ, Dept Prosthodont, Sch Dent, 2175 Dalgubeoldaero, Daegu 41940, South Korea | Mai, Hang-Nga/Q-9865-2018 | 56964780900; 57212056341; 35770948000 | deweylee@knu.ac.kr; | JOURNAL OF MEDICAL INTERNET RESEARCH | J MED INTERNET RES | 1438-8871 | 25 | 1 | SCIE | HEALTH CARE SCIENCES & SERVICES;MEDICAL INFORMATICS | 2023 | 5.8 | 5.5 | 2.34 | 2025-06-25 | 40 | 39 | augmented reality; accuracy; computer-guided surgery; dental implants; systematic review; meta-analysis | HEAD-MOUNTED DISPLAY; DYNAMIC NAVIGATION; GUIDED SURGERY; SURGICAL TEMPLATE; PUBLICATION BIAS; COMPLICATIONS; PLACEMENT; DENTISTRY; TISSUE | accuracy; augmented reality; computer-guided surgery; dental implants; meta-analysis; systematic review | Augmented Reality; Dental Implants; Humans; Surgeons; Surgery, Computer-Assisted; Technology; accuracy; augmented reality; dental surgery; edentulous jaw; human; image display; meta analysis; outcome assessment; Review; systematic review; computer assisted surgery; procedures; surgeon; technology; tooth implant | English | 2023 | 2023-01-03 | 10.2196/42040 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | Article | Clinical and Radiographic Criteria Define "Acceptable" Surgical Correction of Hip Femoroacetabular Impingement Syndrome as Well as Postoperative Complications: An International Modified Delphi Study | Objectives: To develop recommendations for clinical and radiographic criteria to help define the "acceptable" surgical correction of femoroacetabular impingement syndrome (FAIS) and identify/define complications postoperatively. Methods: A 3-phase modified Delphi study was conducted involving a case-based survey; a Likert/multiple choice-based survey concerning radiographic and physical examination characteristics to help define FAIS correction, as well as the prevalence and definition of potential postoperative complications; and 2 consensus meetings. Results: Of the 75 experts invited, 54 completed the Phase I survey, 50 completed the Phase II survey (72% and 67% response rate), and 50 participated in the Phase III consensus meetings. For both typical and atypical (complex) cases, there was consensus that fluoroscopy with multiple views and dynamic hip assessment should be used intraoperatively (96% and 100%, respectively). For typical FAIS cases, the Expert Panel agreed that Dunn lateral and anteroposterior radiographs were the most important radiographs to evaluate the hip postoperatively (88%, consensus). When asked about evaluating the correction of cam impingement postoperatively, 87% voted that they use subjective evaluation of the "sphericity" of the femoral head. In the case of focal and global pincer-type FAIS, there was consensus that the reduction or elimination of the crossover sign (84%) and lateral center-edge angle (91%) were important to inform the extent of the FAIS correction. There was consensus for recommending further investigation at 6 months postoperatively if hip pain had increased/plateaued (92% agreed); that additional investigation and treatment should occur between 6 and 12 months (90% agreed); and that a reoperation may be recommended at 12 months or later following this investigation period (89% agreed). Conclusions: This consensus project identified the importance of using fluoroscopy and dynamic hip assessment intraoperatively; Dunn lateral and anteroposterior view radiographs postoperatively; evaluating the "sphericity" of the femoral head for cam-type correction and the use of dynamic hip assessment; reducing/eliminating the crossover sign for focal pincertype FAIS; evaluating the lateral center-edge angle for global pincer-type FAIS; and avoiding overcorrection of pincer-type FAIS. In cases in which postoperative hip pain increased/plateaued, further investigation and treatment is warranted between 6 and 12 months, and a reoperation may be recommended at a minimum of 12 months depending on the cause of the hip pain. Clinical Relevance: Hip arthroscopy surgeons have yet to reach a firm agreement on what constitutes an "acceptable" or "good" surgery radiographically and how they can achieve desired clinical outcomes. Although this was a comprehensive effort, more study is needed to determine therapeutic thresholds that can be universally applied. | Ayeni, Olufemi R.; Agricola, Rintje; Andrade, A. J. (Tony); Babalola, Oladimeji Ranti; Baek, Seung-Hoon; Bataillie, Filiep; Belzile, Etienne L.; Bonin, Nicolas; Brick, Matthew J.; Buchko, Jordan; Cakic, Josip; Carsen, Sasha; Chan, Yi-Sheng; Degen, Ryan M.; Dumont, Guillaume D.; Duong, Andrew; Dwyer, Tim; Ejnisman, Leandro; Harris, Joshua D.; Hetaimish, Bandar; Johnston, Kelly; Khanduja, Vickas; Khanna, Vickas; Kobayashi, Naomi; Kocaoglu, Baris; Koh, Jason L.; Laskovski, Jovan; Leblanc, Marie-Claude; Lindner, Dror; Loken, Sverre; Lund, Bent; Lynch, T. Sean; Maak, Travis G.; Malviya, Ajay; Marin-Pena, Oliver; McConkey, Mark O.; Mei-Dan, Omer; Menge, Travis; Nault, Marie-Lyne; Nylander, Carlomagno Cardenas; Ochiai, Derek; O'Donnell, John; Papavasiliou, Athanasios; Pauyo, Thierry; Queiroz, Marcelo C.; Randelli, Filippo; Raynor, Chris; Rego, Paulo; Safran, Marc; Said, Hatem Galal; Sansone, Mikael; Sarmento, Andre; Seppanen, Matti; Shim, Paul; Simunovic, Nicole; Tjong, Vehniah K.; Uchida, Soshi; Viamont-Guerra, Maria-Roxana; Whelan, Daniel; Wong, Ivan; Wood, Gavin; Wuerz, Thomas H.; Yen, Yi-Meng; Yin, Qing-Feng | McMaster Univ, Hamilton, ON, Canada; Erasmus MC, Rotterdam, Netherlands; Circle Reading Hosp, Reading, England; Univ Ibadan, Ibadan, Oyo State, Nigeria; Kyungpook Natl Univ, Daegu, South Korea; AZ Herentals, Herentals, Belgium; Univ Laval, CHU Quebec, Quebec City, PQ, Canada; Lyon Ortho Clin, Lyon, France; Orthosports North Harbour, Auckland, New Zealand; Univ Saskatchewan, Regina, SK, Canada; Ctr Sports Med & Orthopaed, Johannesburg, South Africa; Univ Ottawa, Ottawa, ON, Canada; Chang Gung Univ, Chang Gung Mem Hosp, Coll Med, Linkou, Taiwan; Western Univ, London, ON, Canada; Univ South Carolina, Columbia, SC USA; Univ Toronto, Toronto, ON, Canada; Univ Sao Paulo, Sao Paulo, Brazil; Houston Methodist Orthoped & Sports Med, Houston, TX USA; Univ Jeddah, Jeddah, Saudi Arabia; Univ Calgary, Calgary, AB, Canada; Univ Cambridge, Cambridge, England; Yokohama City Univ, Med Ctr, Yokohama, Japan; Acibadem Univ, Fac Med, Istanbul, Turkiye; NorthShore Univ Hlth Syst, Skokie, IL USA; Crystal Clin Orthopaed Ctr, Akron, OH USA; Suroit Hosp, Salaberry De Valleyfield, PQ, Canada; Assaf Harofeh Med Ctr, Beer Yaagov, Israel; Oslo Univ Hosp, Oslo, Norway; Horsens Reg Hosp, Horsens, Denmark; Henry Ford Hlth Syst, Detroit, MI USA; Univ Utah, Salt Lake City, UT USA; Northumbria Healthcare, North East, England; Hosp Univ Infanta Leonor, Madrid, Spain; Univ British Columbia, Vancouver, BC, Canada; Univ Colorado Med, Aurora, CO USA; Michigan State Univ, Spectrum Hlth Orthoped, Grand Rapids, MI USA; Univ Montreal, Montreal, PQ, Canada; ICATME Hosp Univ Dexeus, Barcelona, Spain; Nirschl Orthopaed Ctr, Arlington, VA USA; Swinburne Univ Technol, Melbourne, Australia; Aristotle Univ Thessaloniki, Thessaloniki, Greece; McGill Univ, Montreal, PQ, Canada; Santa Casa Sao Paulo Sch Med Sci, Sao Paulo, Brazil; Univ Milan, Gaetano Pini CTO Orthopaed Inst, Hip Dept CAD, Milan, Italy; Cornwall Community Hosp, Cornwall, ON, Canada; Hosp Luz, Lisbon, Portugal; Stanford Univ, Redwood City, CA USA; Assiut Univ, Fac Med, Assiut, Egypt; Univ Gothenburg, Gothenburg, Sweden; Clin Espregueira Mendes, Porto, Portugal; Turku Univ Hosp, Turku, Finland; Brockville Gen Hosp, Brockville, ON, Canada; Northwestern Med, Chicago, IL USA; Univ Occupat & Environm Hlth, Wakamatsu Hosp, Kitakyushu, Japan; Hosp Israelita Albert Einstein, Sao Paulo, Brazil; Dalhousie Univ, Halifax, NS, Canada; Queens Univ, Kingston, ON, Canada; New England Baptist Hosp, Boston, MA USA; Harvard Med Sch, Boston, MA USA; Shandong Univ, Hosp 2, Jinan, Shandong, Peoples R China | Harris, Joshua/L-6280-2015; Johnston, Kelly/ABE-9647-2020; Nault, Marie-Lyne/AAI-8922-2020; Viamont-Guerra, Maria-Roxana/IQT-1951-2023; Uchida, Soshi/U-7869-2019; Ochiai, Derek/AAM-4285-2021; Khanna, Vickas/AAQ-2554-2021; ayeni, olufemi/AAQ-5090-2021; Khanduja, Vikas/U-9318-2017; Marin-Pena, Oliver/I-6265-2019; Koh, Jason/D-1925-2015; Queiroz, Marcelo/IRZ-5232-2023; Degen, Ryan/C-3916-2018; Kobayashi, Naomi/AAH-3239-2019; kocaoglu, baris/W-7954-2018; Cakic, Josip/KFB-0623-2024; Ejnisman, Leandro/HTP-2565-2023; Carsen, Sasha/AAH-3807-2019 | ARTHROSCOPY-THE JOURNAL OF ARTHROSCOPIC AND RELATED SURGERY | ARTHROSCOPY | 0749-8063 | 1526-3231 | 39 | 5 | SCIE | ORTHOPEDICS;SPORT SCIENCES;SURGERY | 2023 | 4.4 | 5.5 | 1 | DIAGNOSIS | English | 2023 | 2023-05 | 10.1016/j.arthro.2022.11.023 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | ○ | Article | Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study | Background: An artificial intelligence (AI) model using chest radiography (CXR) may provide good performance in making prognoses for COVID-19. Objective: We aimed to develop and validate a prediction model using CXR based on an AI model and clinical variables to predict clinical outcomes in patients with COVID-19. Methods: This retrospective longitudinal study included patients hospitalized for COVID-19 at multiple COVID-19 medical centers between February 2020 and October 2020. Patients at Boramae Medical Center were randomly classified into training, validation, and internal testing sets (at a ratio of 8:1:1, respectively). An AI model using initial CXR images as input, a logistic regression model using clinical information, and a combined model using the output of the AI model (as CXR score) and clinical information were developed and trained to predict hospital length of stay (LOS) <= 2 weeks, need for oxygen supplementation, and acute respiratory distress syndrome (ARDS). The models were externally validated in the Korean Imaging Cohort of COVID-19 data set for discrimination and calibration. Results: The AI model using CXR and the logistic regression model using clinical variables were suboptimal to predict hospital LOS <= 2 weeks or the need for oxygen supplementation but performed acceptably in the prediction of ARDS (AI model area under the curve [AUC] 0.782, 95% CI 0.720-0.845; logistic regression model AUC 0.878, 95% CI 0.838-0.919). The combined model performed better in predicting the need for oxygen supplementation (AUC 0.704, 95% CI 0.646-0.762) and ARDS (AUC 0.890, 95% CI 0.853-0.928) compared to the CXR score alone. Both the AI and combined models showed good calibration for predicting ARDS (P=.079 and P=.859). Conclusions: The combined prediction model, comprising the CXR score and clinical information, was externally validated as having acceptable performance in predicting severe illness and excellent performance in predicting ARDS in patients with COVID-19. | Lee, Hyun Woo; Yang, Hyun Jun; Kim, Hyungjin; Kim, Ue-Hwan; Kim, Dong Hyun; Yoon, Soon Ho; Ham, Soo-Youn; Nam, Bo Da; Chae, Kum Ju; Lee, Dabee; Yoo, Jin Young; Bak, So Hyeon; Kim, Jin Young; Kim, Jin Hwan; Kim, Ki Beom; Jung, Jung Im; Lim, Jae-Kwang; Lee, Jong Eun; Chung, Myung Jin; Lee, Young Kyung; Kim, Young Seon; Lee, Sang Min; Kwon, Woocheol; Park, Chang Min; Kim, Yun-Hyeon; Jeong, Yeon Joo; Jin, Kwang Nam; Goo, Jin Mo | Seoul Natl Univ, Dept Internal Med, Div Resp & Crit Care, Seoul Metropolitan Govt,Boramae Med Ctr, Seoul, South Korea; Seoul Natl Univ, Coll Med, Seoul, South Korea; Seoul Natl Univ, Dept Radiol, Med Res Ctr, Seoul, South Korea; Gwangju Inst Sci & Technol, AI Grad Sch, Gwangju, South Korea; Seoul Natl Univ, Dept Radiol, Seoul Metropolitan Govt, Boramae Med Ctr, Seoul, South Korea; Kangbuk Samsung Hosp, Dept Radiol, Seoul, South Korea; Soonchunhyang Univ, Coll Med, Dept Radiol, Seoul Hosp, Seoul, South Korea; Jeonbuk Natl Univ, Res Inst Clin Med, Dept Radiol, Biomed Res Inst,Jeonbuk Natl Univ Hosp, Jeonju, South Korea; Dankook Univ Hosp, Dept Radiol, Cheonan, South Korea; Chungbuk Natl Univ Hosp, Dept Radiol, Cheongju, South Korea; Kangwon Natl Univ, Kangwon Natl Univ Hosp, Dept Radiol, Sch Med, Chunchon, South Korea; Keimyung Univ, Sch Med, Dept Radiol, Dongsan Hosp, Daegu, South Korea; Chungnam Natl Univ Hosp, Coll Med, Dept Radiol, Daejeon, South Korea; Daegu Fatima Hosp, Dept Radiol, Daegu, South Korea; Catholic Univ Korea, Seoul St Marys Hosp, Coll Med, Dept Radiol, Seoul, South Korea; Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Radiol, Daegu, South Korea; Chonnam Natl Univ Hosp, Dept Radiol, Gwangju, South Korea; Sungkyunkwan Univ, Samsung Med Ctr, Dept Radiol, Sch Med, Seoul, South Korea; Seoul Med Ctr, Dept Radiol, Seoul, South Korea; Yeungnam Univ, Yeungnam Univ Hosp, Dept Radiol, Coll Med, Daegu, South Korea; Univ Ulsan, Coll Med, Asan Med Ctr, Dept Radiol, Seoul, South Korea; Univ Ulsan, Res Inst Radiol, Asan Med Ctr, Coll Med, Seoul, South Korea; Ewha Womans Univ, Dept Radiol, Seoul Hosp, Seoul, South Korea; Pusan Natl Univ, Pusan Natl Univ Hosp, Dept Radiol, Sch Med, Busan, South Korea; Biomed Res Inst, Busan, South Korea | Lee, Jung-Seok/L-6826-2019; Kim, Juhee/KFS-3069-2024; Park, Chang/J-8409-2016; Kim, Jin Young/AAB-6510-2020; Goo, Jin Mo/AFT-4543-2022; Chung, Myung/C-1876-2011; Yoon, Soon/AAL-1640-2020; Nam, Boda/MSX-2031-2025; Lee, Hyun Woo/AAH-8473-2020; Kim, Hyungjin/JED-7172-2023; Yoo, Jin/AAG-6414-2019 | 57205720858; 58106839600; 57207824165; 58256101300; 57205202629; 57219956574; 35893853100; 57193992783; 57195310676; 57216496820; 57193577386; 57192422019; 55862597800; 55910532600; 59080545400; 7402897119; 55515341400; 57196009389; 55728272500; 56436943800; 57192908764; 58097828800; 57027170100; 16234023200; 35313444300; 57706214000; 22035230800; 7006253916 | wlsrhkdska@gmail.com; | JOURNAL OF MEDICAL INTERNET RESEARCH | J MED INTERNET RES | 1438-8871 | 25 | SCIE | HEALTH CARE SCIENCES & SERVICES;MEDICAL INFORMATICS | 2023 | 5.8 | 5.5 | 1.15 | 2025-06-25 | 7 | 9 | COVID-19; deep learning; artificial intelligence; radiography; thoracic; prognosis; AI model; prediction model; clinical outcome; medical imaging; machine learning | AI model; artificial intelligence; clinical outcome; COVID-19; deep learning; machine learning; medical imaging; prediction model; prognosis; radiography, thoracic | Artificial Intelligence; COVID-19; Deep Learning; Humans; Longitudinal Studies; Oxygen; Prognosis; Radiography; Respiratory Distress Syndrome; Retrospective Studies; corticosteroid; oxygen; remdesivir; adult; adult respiratory distress syndrome; area under the curve; Article; clinical outcome; cohort analysis; controlled study; coronavirus disease 2019; deep learning; diagnostic test accuracy study; female; hospitalization; human; length of stay; longitudinal study; major clinical study; male; middle aged; predictive value; receiver operating characteristic; retrospective study; supplementation; thorax radiography; artificial intelligence; diagnostic imaging; prognosis; radiography; respiratory distress syndrome | English | 2023 | 2023-02-16 | 10.2196/42717 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Correction | Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) | Lee, Hyun Woo; Yang, Hyun Jun; Kim, Hyungjin; Kim, Ue-Hwan; Kim, Dong Hyun; Yoon, Soon Ho; Ham, Soo-Youn; Da Nam, Bo; Chae, Kum Ju; Lee, Dabee; Yoo, Jin Young; Bak, So Hyeon; Kim, Jin Young; Kim, Jin Hwan; Kim, Ki Beom; Jung, Jung Im; Lim, Jae-Kwang; Lee, Jong Eun; Chung, Myung Jin; Lee, Young Kyung; Kim, Young Seon; Lee, Sang Min; Kwon, Woocheol; Park, Chang Min; Kim, Yun-Hyeon; Jeong, Yeon Joo; Jin, Kwang Nam; Goo, Jin Mo | Seoul Natl Univ, Dept Internal Med, Div Resp & Crit Care, Seoul Metropolitan Govt,Boramae Med Ctr, Seoul, South Korea; Seoul Natl Univ, Coll Med, Seoul, South Korea; Seoul Natl Univ, Dept Radiol, Med Res Ctr, Seoul, South Korea; Gwangju Inst Sci & Technol, AI Grad Sch, Gwangju, South Korea; Seoul Natl Univ, Boramae Med Ctr, Dept Radiol, Seoul Metropolitan Govt, 20,Boramae Ro 5 Gil, Seoul 07061, South Korea; Sungkyunkwan Univ, Sch Med, Kangbuk Samsung Hosp, Dept Radiol, Seoul, South Korea; Soonchunhyang Univ, Soonchunhyang Univ Seoul Hosp, Coll Med, Dept Radiol, Seoul, South Korea; Jeonbuk Natl Univ, Res Inst Clin Med, Dept Radiol, Biomed Res Inst,Jeonbuk Natl Univ Hosp, Jeonju, South Korea; Dankook Univ Hosp, Dept Radiol, Cheonan, South Korea; Chungbuk Natl Univ Hosp, Dept Radiol, Cheongju, South Korea; Kangwon Natl Univ, Kangwon Natl Univ Hosp, Dept Radiol, Sch Med, Chunchon, South Korea; Keimyung Univ, Dongsan Hosp, Dept Radiol, Sch Med, Daegu, South Korea; Chungnam Natl Univ Hosp, Coll Med, Dept Radiol, Daejeon, South Korea; Daegu Fatima Hosp, Dept Radiol, Daegu, South Korea; Catholic Univ Korea, Seoul St Marys Hosp, Coll Med, Dept Radiol, Seoul, South Korea; Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Radiol, Daegu, South Korea; Chonnam Natl Univ Hosp, Dept Radiol, Gwangju, South Korea; Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Dept Radiol, Seoul, South Korea; Seoul Med Ctr, Dept Radiol, Seoul, South Korea; Yeungnam Univ, Yeungnam Univ Hosp, Dept Radiol, Coll Med, Daegu, South Korea; Univ Ulsan, Coll Med, Asan Med Ctr, Dept Radiol, Seoul, South Korea; Univ Ulsan, Res Inst Radiol, Asan Med Ctr, Coll Med, Seoul, South Korea; Ewha Womans Univ Seoul Hosp, Dept Radiol, Seoul, South Korea; Pusan Natl Univ, Pusan Natl Univ Hosp, Sch Med, Dept Radiol, Busan, South Korea; Biomed Res Inst, Busan, South Korea | Lee, Jung-Seok/L-6826-2019; Kim, Juhee/KFS-3069-2024; Yoo, Jin/AAG-6414-2019; Yoon, Soon/AAL-1640-2020; Kim, Hyungjin/JED-7172-2023; Lee, Hyun Woo/AAH-8473-2020; Chung, Myung/C-1876-2011; Park, Chang/J-8409-2016; Goo, Jin Mo/AFT-4543-2022 | 57205720858; 58106839600; 57207824165; 58256101300; 57205202629; 57219956574; 35893853100; 57193992783; 57195310676; 57216496820; 57193577386; 57192422019; 55862597800; 55910532600; 59080545400; 7402897119; 55515341400; 57196009389; 55728272500; 56436943800; 57192908764; 58097828800; 57027170100; 16234023200; 35313444300; 57706214000; 22035230800; 7006253916 | wlsrhkdska@gmail.com; | JOURNAL OF MEDICAL INTERNET RESEARCH | J MED INTERNET RES | 1438-8871 | 25 | SCIE | HEALTH CARE SCIENCES & SERVICES;MEDICAL INFORMATICS | 2023 | 5.8 | 5.5 | 0 | 2025-06-25 | 0 | 0 | erratum | English | 2023 | 2023-08-23 | 10.2196/51951 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
페이지 이동: