Publications by authors named "Byeong Soo Kim"

Background: Identifying patients unlikely to achieve meaningful improvement following total knee arthroplasty (TKA) supports more effective shared decision-making (SDM). This study aimed to develop and validate machine learning (ML) models that preoperatively predict insufficient clinical improvement one year after TKA using Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) subscales and total scores, and to assess the important predictive variables.

Methods: A retrospective analysis was performed on consecutive primary TKA patients from 2004 to 2022 at a single tertiary hospital was conducted.

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Gossypin, a flavone found in , exhibits antioxidant, antidiabetic, anti‑inflammatory and anticancer effects. The present study investigated the potential of gossypin to induce apoptosis and autophagy in HT‑29 human colorectal cancer (CRC) cells, and assessed its association with the MAPK/JNK pathway. Cell viability assays, DAPI staining, flow cytometry, acridine orange staining, western blotting, hematoxylin and eosin staining, terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) staining and immunohistochemistry were performed.

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In this study, we aimed to investigate whether the physiological activity of ethanol extracts of was improved after fermentation with strains KCTC 3108 (FLP8) and KCL005 (FLP9). Total polyphenol and flavonoid content was substantially increased after fermentation with FLP8 and FLP9 for 48 h and 24 h, respectively, compared with the unfermented control. The 6-gingerol content was significantly increased in FLP9 after 24 h of fermentation, whereas in FLP8, it remained comparable to pre-fermentation levels.

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Unlabelled: With the advent of robot-assisted surgery, user-friendly technologies have been applied to the da Vinci surgical system (dVSS), and their efficacy has been validated in worldwide surgical fields. However, further improvements are required to the traditional manipulation methods, which cannot control an endoscope and surgical instruments simultaneously. This study proposes a speech recognition control interface (SRCI) for controlling the endoscope via speech commands while manipulating surgical instruments to replace the traditional method.

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Background: Osteoarthritis (OA) is a common degenerative joint condition caused by an imbalance between cartilage synthesis and degradation, which disrupts joint homeostasis. This study investigated the anti-inflammatory and joint-improving effects of root extract powder (PDREP) in both in vitro and in vivo OA models.

Methods/results: In an in vitro OA model, in which SW1353 human chondrosarcoma cells were treated with interleukin (IL)-1β, PDREP treatment significantly reduced the mRNA levels of matrix metalloproteinase (MMP)-1, MMP-3, and MMP-13 while enhancing collagen type II alpha 1 (Col2a1) mRNA level, and decreased IL-6 and prostaglandin E2 (PGE2) levels.

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The human gut microbiota significantly influences various physiological systems, including immune, nervous, and metabolic systems. Recent studies suggest that gut microbiota may affect sleep quality with certain bacteria and metabolites being linked to sleep patterns. However, the underlying chemical signaling pathway remains unclear.

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Cheonggukjang () is a traditional food, made by the fermentation of beans, and it has different recipes for different regions in Korea. However, it has anti-inflammatory, anti-cancer, and anti-obesity effects, and is known to affect changes in the intestinal microbiota. In this study, we investigated the immune-enhancing effects of four type s (one commercial and three transitional s).

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Article Synopsis
  • The activation of human immune cells by intestinal microorganisms, like probiotics and prebiotics, is crucial for maintaining a healthy balance between beneficial and harmful bacteria in the gut.
  • Probiotic products are becoming popular, especially for skin health and managing atopic dermatitis (AD), which is linked to immune system reactions and inflammation.
  • A study on anti-atopic substances showed that treatment reduced symptoms of AD by decreasing skin inflammation and improving immune responses, as observed through various tests on experimental animals.
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  • A study was conducted to explore how user experience and characteristics of polyps affect interactions with computer-aided detection (CADe) systems during colonoscopy.
  • The CADe system, built using YOLOv4 and trained on nearly 18,000 images, showed an improvement in polyp detection accuracy from 69.7% to 77.7% when assisted by CADe, although misdetections could decrease accuracy.
  • The results indicated that less experienced users (like nurses) benefited more from CADe assistance compared to experts, and while overall sensitivity improved for easier polyp detection, it was lower for more challenging lesions like sessile serrated lesions (SSLs).
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Background/aim: Kaempferol, a natural flavonoid, occurs abundantly in fruits and vegetables. It has various bioactivities, with antioxidant, anti-inflammatory, and other beneficial properties. The aim of this study was to investigate the in vitro effects of kaempferol on the proliferation, apoptosis, and autophagy of KB cells, a human cervical cancer cell line, and the corresponding action mechanisms.

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This study developed a new convolutional neural network model to detect and classify gastric lesions as malignant, premalignant, and benign. We used 10,181 white-light endoscopy images from 2606 patients in an 8:1:1 ratio. Lesions were categorized as early gastric cancer (EGC), advanced gastric cancer (AGC), gastric dysplasia, benign gastric ulcer (BGU), benign polyp, and benign erosion.

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Background: Choral activities are correlated with various health and wellbeing parameters. However, an intervention combining a music program using wind instruments and choral activities has not yet been investigated. Thus, this study aimed to assess the effects of a 12-week intervention combining a wind instrument performance program and a choral program on stress factors, quality of life, and respiratory function in adolescents located in a metropolitan city with exposure to air pollution.

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Article Synopsis
  • Patient isolation units (PIUs) are effective for infection control, but optimizing their design typically requires extensive computational resources, which this study aims to address using data-driven models.
  • The study used computational fluid dynamics (CFD) to examine how various PIU settings and room conditions impact ventilation and isolation, focusing on airflow patterns and particle dispersion from coughing.
  • Key findings indicate that while physical isolation alone isn't enough to stop particle spread, the addition of a fan filter unit (FFU) significantly improves isolation performance, with its positioning being the most crucial factor influencing PIU effectiveness.
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The mechanisms underlying chronic inflammatory diseases remain unclear. Therefore, researchers have explored the mechanisms underlying colitis using diverse materials. Recently, there has been an increasing interest in fermented products and bioconversion materials, their potential efficacy is being actively studied.

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A spirometer is a medical device frequently used clinically for the diagnosis and prediction of lung disease. This study aimed to investigate the clinical usefulness of a hand-held spirometer (The Spirokit), compared with conventional spirometry in patients with chronic obstructive pulmonary disease (COPD). This study was conducted from February 2022 to October 2022.

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Robot-assisted surgery platforms are utilized globally thanks to their stereoscopic vision systems and enhanced functional assistance. However, the necessity of ergonomic improvement for their use by surgeons has been increased. In surgical robots, issues with chronic fatigue exist owing to the fixed posture of the conventional stereo viewer (SV) vision system.

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The intraoperative estimated blood loss (EBL), an essential parameter for perioperative management, has been evaluated by manually weighing blood in gauze and suction bottles, a process both time-consuming and labor-intensive. As the novel EBL prediction platform, we developed an automated deep learning EBL prediction model, utilizing the patch-wise crumpled state (P-W CS) of gauze images with texture analysis. The proposed algorithm was developed using animal data obtained from a porcine experiment and validated on human intraoperative data prospectively collected from 102 laparoscopic gastric cancer surgeries.

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Platycodin D (PD) is the main component of triterpene saponins found in Platycodi radix. In this study, we observed a decrease in cell viability, an increase in apoptotic bodies, and an increase in the rate of apoptosis. Also, we observed an increase in cleaved PARP and Bax, a decrease in Bcl-2, and p-ERK, and an increase in p-p38 and p-JNK.

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Recognizing anatomical sections during colonoscopy is crucial for diagnosing colonic diseases and generating accurate reports. While recent studies have endeavored to identify anatomical regions of the colon using deep learning, the deformable anatomical characteristics of the colon pose challenges for establishing a reliable localization system. This study presents a system utilizing 100 colonoscopy videos, combining density clustering and deep learning.

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Article Synopsis
  • Airway procedures are critical for saving lives, and video laryngoscopy (VL) is essential for endotracheal intubation (ETI) in emergencies.
  • This study developed an AI algorithm using the YOLOv4 model to detect vocal cords from VL images, analyzing a dataset of 20,161 images from 84 patients.
  • The algorithm showed strong performance with an F1 score of 0.906 during validation and 0.808 in the test set, indicating it could help ensure safe ETI.
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Objective: Endotracheal intubation (ETI) is critical to secure the airway in emergent situations. Although artificial intelligence algorithms are frequently used to analyze medical images, their application to evaluating intraoral structures based on images captured during emergent ETI remains limited. The aim of this study is to develop an artificial intelligence model for segmenting structures in the oral cavity using video laryngoscope (VL) images.

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(PB)-derived bioactive substances have been used as food and medicine in many Asian countries because of their antioxidant, antidiabetic, anti-cancer, and hepatoprotective properties. However, the effect of PB extracts (PBE) on osteoclast differentiation is unclear. In this study, we investigated the effect of PBE on RANKL-induced osteoclastogenesis in mouse bone marrow-derived macrophages (BMMs).

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Background: (Thunb.) Siebold (EA) is a medicinal plant used in some Asian countries to treat various diseases, including cancer, hyperglycemia, diabetes, urticaria, dysmenorrhea, and arthritis. Owing to the wide range of pharmacological applications of EA, various roles of EA are being studied.

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Background: We aimed to investigate the effects of a community-based senior musical program on the cognitive and physical functions in older women.

Method: Older women aged ≥65 years participating in a program at a community welfare center were randomized to experimental (n = 17) or control (n = 17) groups. The control group participated in singing and yoga classes offered at the welfare center, while the experimental group participated in a senior musical program consisting of vocal training, dancing, and breathing training.

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Background: Accurate interpretation of chest radiographs requires years of medical training, and many countries face a shortage of medical professionals to meet such requirements. Recent advancements in artificial intelligence (AI) have aided diagnoses; however, their performance is often limited due to data imbalance. The aim of this study was to augment imbalanced medical data using generative adversarial networks (GANs) and evaluate the clinical quality of the generated images via a multi-center visual Turing test.

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