Publications by authors named "Sin-Youl Park"

This study evaluated automated machine learning (AutoML) in classifying the presence or absence of hemoperitoneum in ultrasonography (USG) images of Morrison's pouch. In this multicenter, retrospective study, 864 trauma patients from trauma and emergency medical centers in South Korea were included. In all, 2200 USG images (1100 hemoperitoneum and 1100 normal) were collected.

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Background: In February and March 2020, healthcare providers and citizens in Daegu, South Korea, experienced the onslaught of a large-scale community epidemic of COVID-19. This had a profound impact on patients who experienced out-of-hospital cardiac arrest (OHCA).

Methods: We conducted a retrospective observational study of 171 OHCA patients based on the multicenter WinCOVID registry.

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Background: Doctors with various specializations and experience order brain computed tomography (CT) to rule out intracranial hemorrhage (ICH). Advanced artificial intelligence (AI) can discriminate subtypes of ICH with high accuracy.

Objective: The purpose of this study was to investigate the clinical usefulness of AI in ICH detection for doctors across a variety of specialties and backgrounds.

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Background: Futile resuscitation for out-of-hospital cardiac arrest (OHCA) patients in the coronavirus disease (COVID)-19 era can lead to risk of disease transmission and unnecessary transport. Various existing basic or advanced life support (BLS or ALS, respectively) rules for the termination of resuscitation (TOR) have been derived and validated in North America and Asian countries. This study aimed to evaluate the external validation of these rules in predicting the survival outcomes of OHCA patients in the COVID-19 era.

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Budd-Chiari syndrome (BCS) is a rare intrahepatic vascular disease that is characterized by a hepatic venous outflow obstruction. Intravenous leiomyomatosis (ILs) is a rare complication of a myoma. Here, we report a case of BCS that was caused by intracaval ILs.

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Article Synopsis
  • * Conducted retrospectively, it analyzed images from adult COVID-19 patients in emergency departments in Korea, demonstrating the DL algorithm's sensitivity of 95.6% and specificity of 88.7%.
  • * The DL algorithm achieved diagnostic performance similar to formal radiology reports, indicating it could streamline patient screening and lessen the workload for healthcare professionals during surges in COVID-19 cases.
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Background: This study aimed to investigate the efficacy of transtracheal ultrasonography in confirming the placement of an endotracheal tube introducer during endotracheal intubation using the I-gel supraglottic airway as a guide.

Methods: In this prospective study, endotracheal intubation using an endotracheal tube introducer through the I-gel was performed in patients with return of spontaneous circulation after I-gel insertion for out-of-hospital cardiac arrest. The introducer placement was assessed by the occurrence of hyperechoic artifacts within the trachea or esophagus in transtracheal ultrasonography.

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Point-of-care ultrasound (POCUS) is a useful tool that is widely used in the emergency and intensive care areas. In Korea, insurance coverage of ultrasound examination has been gradually expanding in accordance with measures to enhance Korean National Insurance Coverage since 2017 to 2021, and which will continue until 2021. Full coverage of health insurance for POCUS in the emergency and critical care areas was implemented in July 2019.

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Hemoptysis is a major reason for emergency department (ED) visits. Catamenial hemoptysis (CH), a rare condition of thoracic endometriosis, can cause recurrent hemoptysis but is difficult to diagnose in the ED due to the scarcity of cases and nonspecific clinical findings. We report a case of a 26-year-old woman who presented to the ED with recurrent hemoptysis since 2 years without a definite cause.

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Fitz-Hugh-Curtis syndrome (FHCS) is characterized by inflammation of the perihepatic capsules associated with the pelvic inflammatory disease (PID). FHCS is not a serious disease, but if not treated properly, it can result in increased medical costs, prolonged treatment, and dissatisfaction with treatment. However, early recognition of FHCS in the emergency department can be difficult because its symptoms or physical findings may mimic many other diseases.

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Splenic artery aneurysm is the third most common type of intra-abdominal aneurysm, with a prevalence rate of 0.01% to 10.4% in the general population.

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Objectives: To assess respective roles of serum creatinine (SCr) alone and estimated glomerular filtration rate (eGFR) as an early predictor for contrast-induced nephropathy (CIN) in elderly patients with cancer.

Materials And Methods: eGFR of 348 patients at 65years or older with malignancy who underwent contrast-enhanced computed tomography (CECT) were calculated. eGFR was calculated based on the following three equations: Chronic Kidney Disease Epidemiology Collaboration equation (CKD-EPI); Modification of Diet in Renal Disease Study (MDRD); Cockcroft-Gault (CG).

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Introduction: To investigate the role of initial procalcitonin (PCT) level as an early predictor of septic shock for the patient with sepsis induced by acute pyelonephritis (APN) secondary to ureteral calculi.

Materials And Methods: The data from 49 consecutive patients who met criteria of sepsis due to APN following ureteral stone were collected and divided into two groups: with (n=15) or without (n=34) septic shock. The clinical variables including PCT level for this outcome were retrospectively compared by univariate analysis, followed by multivariable logistic regression model.

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Methylene blue is the first-choice treatment of methemoglobinemia, but it is not readily available in most Korean emergency departments because of an import suspension. An 84-year-old woman with dapsone-induced massive methemoglobinemia visited our emergency department for unclear mentality and cyanosis. Because methylene blue was not available, we intravenously administrated vitamin C (VC) for symptomatic methemoglobinemia, although VC is not a universally accepted treatment.

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Synopsis of recent research by authors named "Sin-Youl Park"

  • - Sin-Youl Park's recent research primarily focuses on the application of advanced imaging techniques and machine learning in emergency medicine, specifically using automated machine learning and deep learning for the interpretation of ultrasonographic images and chest radiographs.
  • - A significant study investigated the use of automated machine learning to classify hemoperitoneum on ultrasonographic images, demonstrating promising results in diagnosing trauma patients through AI-enhanced image analysis.
  • - Sin-Youl Park's work also includes evaluations of clinical practices during the COVID-19 pandemic, such as the external validation of resuscitation termination rules and the effectiveness of point-of-care ultrasound, emphasizing the importance of real-time diagnostics in critical care settings.