Seung-min Baek

BACKGROUND: Nutritional support is crucial in critically ill patients to enhance recovery, reduce infections, and improve outcomes. This meta-analysis compared early enteral nutrition (EEN) and early parenteral nutrition (EPN) to evaluate their efficacy in adult critically ill patients. METHODS: A systematic review of 14 studies involving 7618 patients was conducted, including randomized controlled trials, prospective cohorts, and retrospective analyses. The primary outcomes were mortality and i

BACKGROUND: An artificial-intelligence (AI) model for predicting the prognosis or mortality of coronavirus disease 2019 (COVID-19) patients will allow efficient allocation of limited medical resources. We developed an early mortality prediction ensemble model for COVID-19 using AI models with initial chest X-ray and electronic health record (EHR) data. RESULTS: We used convolutional neural network (CNN) models (Inception-ResNet-V2 and EfficientNet) for chest X-ray analysis and multilayer percept

Objective: Acute leukemia (AL) is a life-threatening malignant disease that occurs in the bone marrow and blood, and is classified as either acute myeloid leukemia (AML) or acute lymphoblastic leukemia (ALL). Diagnosing AL warrants testing methods, such as flow cytometry, which require trained professionals, time, and money. We aimed to develop a model that can classify peripheral blood images of 12 cell types, including pathological cells associated with AL, using artificial intelligence. Metho

PURPOSE: Recently many cases of appendectomy have been conducted by single-incision laparoscopic technique. The aim of this study is to figure out the benefits of transumbilical single-port laparoscopic appendectomy (TULA) compared with conventional three-port laparoscopic appendectomy (CTLA). METHODS: From 2010 to 2012, 89 patients who were diagnosed as acute appendicitis and then underwent laparoscopic appendectomy a single surgeon were enrolled in this study and with their medical records wer

This study was designed to develop machine-learning models to predict COVID-19 mortality and identify its key features based on clinical characteristics and laboratory tests. For this, deep-learning (DL) and machine-learning (ML) models were developed using receiver operating characteristic (ROC) area under the curve (AUC) and F1 score optimization of 87 parameters. Of the two, the DL model exhibited better performance (AUC 0.8721, accuracy 0.84, and F1 score 0.76). However, we also blended DL w

BACKGROUND: Despite reports that the closed intensive care unit (ICU) system improves clinical outcomes, it has not been widely applied for various reasons. This study aimed to propose a better ICU system for critically ill patients by comparing the experience of open surgical ICU (OSICU) and closed surgical ICU (CSICU) systems in the same institution. METHODS AND FINDINGS: Our institution converted the ICU system from "open" to "closed" in February 2020, and enrolled patients were classified in

Colorectal cancer is the 3rd leading cause of cancer-related deaths in Korea, ranking 4th and 3rd among men and women, respectively. It is also the most common cause of cancer-related deaths in women older than 64 years. This study assessed the National Cancer Screening Program for colorectal cancer and examined its efficacy in enhancing public health. The fecal occult blood test (FOBT), a traditional noninvasive colorectal cancer screening test that can be performed on an outpatient basis was r

BACKGROUND: Sepsis and septic shock remain the leading causes of death in critically ill patients worldwide. Various biomarkers are available to determine the prognosis and therapeutic effects of sepsis. In this study, we investigated the effectiveness of presepsin as a sepsis biomarker. METHODS: Patients admitted to the intensive care unit with major or minor diagnosis of sepsis were categorized into survival and non-survival groups. The white blood cell count and serum C-reactive protein, proc

Objective: Modern healthcare systems face challenges related to the stable and sufficient blood supply of blood due to shortages. This study aimed to predict the monthly blood transfusion requirements in medical institutions using an artificial intelligence model based on national open big data related to transfusion. Methods: Data regarding blood types and components in Korea from January 2010 to December 2021 were obtained from the Health Insurance Review and Assessment Service and Statistics

To assess the diagnostic utility of bone turnover markers (BTMs) and demographic variables for identifying individuals with osteoporosis. A cross-sectional study involving 280 participants was conducted. Serum BTM values were obtained from 88 patients with osteoporosis and 192 controls without osteoporosis. Six machine learning models, including extreme gradient boosting (XGBoost), light gradient boosting machine (LGBM), CatBoost, random forest, support vector machine, and k-nearest neighbors, w

The boosting model, which excels in producing classification models using categorical data, excels in developing classification models using linear numerical data, such as laboratory tests. Finally, the proposed model can be applied in various fields to solve classification problems.

Purpose: Recently many cases of appendectomy have been conducted by singleincision laparoscopic technique. The aim of this study is to figure out the benefits of transumbilical single-port laparoscopic appendectomy (TULA) compared with conventional three-port laparoscopic appendectomy (CTLA). Methods: From 2010 to 2012, 89 patients who were diagnosed as acute appendicitis and then underwent laparoscopic appendectomy a single surgeon were enrolled in this study and with their medical records were

20세기 세계 대전 이후 국제적 차원에서 다뤄지기 시작한 ‘인권’은 이제 우리 생활 곳곳에서 익숙한 것이 되었다. 성소수자, 여성, 어린이, 청소년의 권리 주장 뿐 아니라 노동환경, 군대문화 개선과 같은 다양한 주장에서도 인권이 중요하게 부각되고 있다. 또한 국내외에서 인권 보호를 위한 기구와 제도 역시 증가하였다. 이러한 맥락에서 인권교육은 더 나은 인권문화 형성을 위해 강조되고 있다. 1994년 ‘유엔 인권교육 10년 행동계획’과 인권교육의 단계적 확대 계획을 담은 ‘1, 2차 세계인권 교육프로그램’들은 인권교육의 중요성과 지속성을 보여주었다. 특히 2010년 발표된 2차 계획은 인권교육의 확대와 내용면에서 심화를 위해 고등교육기관에서의 인권교육 당위성을 강조하였다. 그렇다면 현실은 어떠한가? 이 연구는 한국 고등교육에서의 인권교육을 살핀다. 인권교육이 고등교육기관으로 확대된 것이 1) 각 학문분과의 시각과 수업 양식 전반에 이뤄지고 있는지, 2) 인권이 전문 지식 영역으로 정교

Our study demonstrates that the ensemble model, incorporating XGBoost, CatBoost, and LGBM techniques, outperforms individual ML and deep learning models in predicting pneumonia mortality. Our findings emphasize the importance of integrating AI techniques to leverage laboratory test data effectively, offering a promising direction for advancing AI applications in medical research and clinical decision-making.