A5032054737- Abdominal Trauma and Injuries
- Trauma and Emergency Care Studies
- Pelvic and Acetabular Injuries
- Trauma Management and Diagnosis
- Abdominal Surgery and Complications
- Autopsy Techniques and Outcomes
- Cardiac Arrest and Resuscitation
- Trauma, Hemostasis, Coagulopathy, Resuscitation
- COVID-19 diagnosis using AI
- Emergency and Acute Care Studies
- Hernia repair and management
- COVID-19 Clinical Research Studies
- Machine Learning in Healthcare
- Pleural and Pulmonary Diseases
- Case Reports on Hematomas
- Venous Thromboembolism Diagnosis and Management
- Colorectal and Anal Carcinomas
- Tracheal and airway disorders
- Artificial Intelligence in Healthcare and Education
- Colorectal Cancer Surgical Treatments
- Radiomics and Machine Learning in Medical Imaging
- Pancreatic and Hepatic Oncology Research
- Spinal Fractures and Fixation Techniques
- Urological Disorders and Treatments
- Ultrasound in Clinical Applications
Cheju Halla General Hospital
2021-2025
Wonkwang University
2018-2023
Weatherford College
2023
Chonnam National University Hospital
2014-2019
Chonnam National University
2013-2017
Background Coronavirus disease (COVID-19) has spread explosively worldwide since the beginning of 2020. According to a multinational consensus statement from Fleischner Society, computed tomography (CT) is relevant screening tool due its higher sensitivity for detecting early pneumonic changes. However, physicians are extremely occupied fighting COVID-19 in this era crisis. Thus, it crucial accelerate development an artificial intelligence (AI) diagnostic support physicians. Objective We...
Background COVID-19, which is accompanied by acute respiratory distress, multiple organ failure, and death, has spread worldwide much faster than previously thought. However, at present, it limited treatments. Objective To overcome this issue, we developed an artificial intelligence (AI) model of named EDRnet (ensemble learning based on deep neural network random forest models), to predict in-hospital mortality using a routine blood sample the time hospital admission. Methods We selected 28...
Background The number of deaths from COVID-19 continues to surge worldwide. In particular, if a patient’s condition is sufficiently severe require invasive ventilation, it more likely lead death than recovery. Objective goal our study was analyze the factors related severity in patients and develop an artificial intelligence (AI) model predict at early stage. Methods We developed AI that predicts based on data 5601 all national regional hospitals across South Korea as April 2020. clinical...
Background and Objectives: Two major classification systems exist for rib fracture (RFX) displacement. One system uses a 50% displacement threshold: Grade I (<50%), II (≥50% to <100%), III (completely dislocated). Another proposes 10% Undisplaced (<10%), Offset (≥10% Displaced We analyzed risk factors adverse outcomes pulmonary complications mortality according both criteria. Materials Methods: retrospectively reviewed trauma registry medical records from January 2019 December 2023. All...
Artificial intelligence (AI) is being increasingly applied in healthcare to improve patient care and clinical outcomes. We previously developed an AI model using ICD-10 (International Classification of Diseases, Tenth Revision) codes with other variables predict in-hospital mortality among trauma patients from a nationwide database. This study aimed externally validate the performance model. Validation was conducted multicenter retrospective cohort design, analyzing data January 2020...
With the rapid development of information technology, Office has become an indispensable tool in modern workplace. As main force future workplace, it is crucial for college students to master advanced application skills their career development. The purpose this paper explore role courses vocational training students, by analyzing importance skills, curriculum and teaching methods, as well specific impact on cultivation students' ability, put forward suggestions improvement, with a view...
Within the trauma system, emergency department (ED) is hospital's first contact and vital for allocating medical resources. However, there generally limited information about patients that die in ED.The aim of this study was to develop an artificial intelligence (AI) model predict mortality analyze pertinent factors all visiting ED.We used Korean National Emergency Department Information System (NEDIS) data set (N=6,536,306), incorporating over 400 hospitals between 2016 2019. We included...
Abstract Recently, resuscitative endovascular balloon occlusion of the aorta (REBOA) had been introduced as an innovative procedure for severe hemorrhage in abdomen or pelvis. We aimed to investigate risk factors associated with mortality after REBOA and construct a model predicting mortality. This multicenter retrospective study collected data from 251 patients admitted at five regional trauma centers across South Korea 2015 2022. The indications included experiencing hypovolemic shock due...
Artificial intelligence (AI) technologies have been applied in various medical domains to predict patient outcomes with high accuracy. As AI becomes more widely adopted, the problem of model bias is increasingly apparent. In this study, we investigate that can occur when training a using datasets for only one particular gender and aim present new insights into issue. For investigation, considered an predicts severity at early stage based on records coronavirus disease (COVID-19) patients....
Physical trauma-related mortality places a heavy burden on society. Estimating the risk in physical trauma patients is crucial to enhance treatment efficiency and reduce this burden. The most popular accurate model Injury Severity Score (ISS), which based Abbreviated Scale (AIS), an anatomical injury severity scoring system. However, AIS requires specialists code scale by reviewing patient's medical record; therefore, applying every hospital impossible.We aimed develop artificial...
Purpose: Pancreatic trauma is infrequent because of its central, deep anatomical position.This contributes to a lack surgeon experience and many debates exist about standard care.This study aimed investigate the postoperative pancreatic fistula (POPF) mortality after operation.Methods: We reviewed records in registry our institution submitted from January 2006 December 2016.The grade injury, surgical management, morbidity, mortality, other clinical variables included analyses.Results: Data...
This study aimed to investigate the incidence and risk factors of early postoperative small bowel obstruction (EPSBO) after laparotomy for trauma patients.From 2009 2016, consecutive patients who had undergone were retrospectively evaluated. EPSBO was defined as presence signs symptoms between days 7 30, or occurring anytime within 30 lasting more days.Among 297 met inclusion criteria, 72 (24.2%) developed EPSBO. The length hospital stay significantly longer in with than those without...
The direct consequences of chest trauma may cause adverse outcomes. Therefore, the early detection high-risk patients and appropriate interventions can improve patient This study aimed to investigate risk factor for overall pulmonary complications in with blunt traumatic rib fractures. Prospectively recorded data a level 1 center between January 2019 October 2022 were retrospectively analyzed. primary outcomes one or more complications. To minimize overfitting prediction model, we used least...
Recent advancements in interventional radiology have made angioembolization an invaluable modality trauma care. Angioembolization is typically performed by radiologists. In this study, we aimed to investigate the safety and efficacy of emergency surgeons.
Severe abdominal injuries often require immediate clinical assessment and surgical intervention to prevent life-threatening complications. In Jeju Regional Trauma Center, we have instituted a protocol for emergency department (ED) laparotomy at the trauma bay. We investigated mortality time taken from admission ED laparotomy.
Abstract The aim of the study is to develop artificial intelligence (AI) algorithm based on a deep learning model predict mortality using abbreviate injury score (AIS). performance conventional anatomic severity (ISS) system in predicting in-hospital still limited. AIS data 42,933 patients registered Korean trauma bank from four regional centers were enrolled. After excluding who younger than 19 years old and those died within six hours arrival, we included 37,762 patients, which 36,493...
A task force appointed by the Korean Society of Acute Care Surgery reviewed previously published guidelines on antibiotic use in patients with abdominal injuries and adapted for Korea.Four were assessed using Appraisal Guidelines Research Evaluation II instrument. Five topics considered: indication antibiotics, time until first use, therapy duration, appropriate trauma hemorrhagic shock.Patients requiring surgery need preoperative prophylactic antibiotics. Patients who do not require...