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Yongil Cho

Hanyang University · Medicine

About the Lab

Professor Yongil Cho's research lab specializes in biomedical informatics and artificial intelligence applications in healthcare, with a focus on improving diagnostic accuracy and clinical decision-making. The lab conducts population-based cohort studies to evaluate drug safety and cardiovascular risk, particularly concerning arrhythmias associated with antibiotic use. It also develops AI-driven tools for medical image analysis, such as detecting pneumothorax in chest X-rays using neural networks, and investigates viral etiologies of pediatric gastroenteritis. Additionally, the lab contributes to the validation of AI-enhanced electrocardiography for early detection of acute myocardial infarction in emergency settings.

artificial intelligenceelectrocardiogrammedical imagingpharmacoepidemiologyviral gastroenteritis

Research Overview

Papers
85
Total Citations
646
Papers (5y)
44
Primary Field
Medicine

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
44total
2022
2023
2024
2025
2026
Citations per year (5y)
201total
20222023202420252026

Selected Papers

15
1
Article|64 citations·1990
Importance of rotavirus and adenovirus types 40 and 41 in acute gastroenteritis in Korean children
K H Kim, Jai Myung Yang, Sai Ick Joo, Yongil Cho, Roger I. Glass, Y J Cho
SJR Q1Journal of Clinical MicrobiologyOA

To examine the role of rotavirus (Rv) and adenovirus types 40 and 41 (Ad40/41) in Korean children with acute gastroenteritis, we evaluated 345 children with acute gastroenteritis and 90 children without acute gastroenteritis in Seoul, Korea, during a 29-month period. Stools were tested for group A Rv antigen and for Ad40/41 by using monoclonal antibody (MAb)-based assays. Rv was found in 68% of the ill children and 19% of the controls (P less than 0.001), whereas Ad40/41 was detected in 9% of th

Infectious DiseasesMedicine
2
Article|48 citations·2010
Collaborative occupancy reasoning in visual sensor network for scalable smart video surveillance
Yongil Cho, Sang Seok Lim, Hyun Suk Yang
SJR Q1IEEE Transactions on Consumer Electronics

Video surveillance is a popular consumer application that is used for various purposes such as public safety, facilities surveillance, and traffic monitoring. In a general video surveillance system, video streams from cameras are sent to a control center and operators monitor the videos. But human operator monitoring of the views every moment of every day is almost impossible; so, smart surveillance systems are required, systems that are capable of automated scene analysis. There are a number of

Computer Vision and Pattern RecognitionComputer Science
3
Article|42 citations·2025
Artificial intelligence applied to electrocardiogram to rule out acute myocardial infarction: the ROMIAE multicentre study
Min Sung Lee, Tae Gun Shin, Young Ju Lee, Dong Hoon Kim, Sung‐Hyuk Choi, Hanjin Cho, Mi-Jin Lee, Ki Young Jeong, Won Young Kim, Young Gi Min, Chul Han, Jae Chol Yoon
SJR Q1European Heart JournalOA

BACKGROUND AND AIMS: Emerging evidence supports artificial intelligence-enhanced electrocardiogram (AI-ECG) for detecting acute myocardial infarction (AMI), but real-world validation is needed. The aim of this study was to evaluate the performance of AI-ECG in detecting AMI in the emergency department (ED). METHODS: The Rule-Out acute Myocardial Infarction using Artificial intelligence Electrocardiogram analysis (ROMIAE) study is a prospective cohort study conducted in the Republic of Korea from

Cardiology and Cardiovascular MedicineMedicine
4
Article|39 citations·2019
Socioeconomic status and depression as combined risk factors for acute myocardial infarction and stroke: A population-based study of 2.7 million Korean adults
Yongil Cho, Tae Ho Lim, Hyunggoo Kang, Yoonje Lee, Heekyung Lee, Hongjung Kim
SJR Q1Journal of Psychosomatic Research
Cardiology and Cardiovascular MedicineMedicine
5
Review|28 citations·2019
Risk of bias assessment of randomised controlled trials referenced in the 2015 American Heart Association guidelines update for cardiopulmonary resuscitation and emergency cardiovascular care: a cross-sectional review
Yongil Cho, Changsun Kim, Bossng Kang
SJR Q1BMJ OpenOA

OBJECTIVES: To identify the risk of bias of randomised controlled trials (RCTs) referenced in the 2015 American Heart Association (AHA) guidelines update for cardiopulmonary resuscitation (CPR) and emergency cardiovascular care (ECC). DESIGN: A cross-sectional review. SETTING: All RCTs cited as references in the 2015 AHA guidelines update for CPR and ECC were extracted. After excluding non-human trials, studies that analysed existing RCTs, and RCTs published in a letter format, two reviewers ass

Statistics, Probability and UncertaintyDecision Sciences
6
Article|24 citations·2018
Association of oral ciprofloxacin, levofloxacin, ofloxacin and moxifloxacin with the risk of serious ventricular arrhythmia: a nationwide cohort study in Korea
Yongil Cho, Hyun Soo Park
SJR Q1BMJ OpenOA

OBJECTIVE: To evaluate whether oral ciprofloxacin, levofloxacin, ofloxacin and moxifloxacin increase the risk of ventricular arrhythmia in Korea's general population. DESIGN: Population-based cohort study using administrative claims data on a national scale in Korea. SETTING: All primary, secondary and tertiary care settings from 1 January 2015 to 31 December 2015. PARTICIPANTS: Patients who were prescribed the relevant study medications at outpatient visits. PRIMARY OUTCOME MEASURES: Each patie

PharmacologyMedicine
7
Article|18 citations·2021
Detection of the location of pneumothorax in chest X-rays using small artificial neural networks and a simple training process
Yongil Cho, Jong Soo Kim, Tae Ho Lim, Inhye Lee, Jongbong Choi
SJR Q1Scientific ReportsOA

The purpose of this study was to evaluate the diagnostic performance achieved by using fully-connected small artificial neural networks (ANNs) and a simple training process, the Kim-Monte Carlo algorithm, to detect the location of pneumothorax in chest X-rays. A total of 1,000 chest X-ray images with pneumothorax were taken randomly from NIH (the National Institutes of Health) public image database and used as the training and test sets. Each X-ray image with pneumothorax was divided into 49 box

Radiology, Nuclear Medicine and ImagingMedicine
8
Article|17 citations·2019
Risk of Venous Thromboembolism After Carbon Monoxide Poisoning: A Nationwide Population-Based Study
Yongil Cho, Hyunggoo Kang, Jaehoon Oh, Tae Ho Lim, Jiin Ryu, Byuk Sung Ko
SJR Q1Annals of Emergency Medicine
Molecular BiologyBiochemistry, Genetics and Molecular Biology
9
Article|17 citations·2020
Adverse Reactions after Administration of Antivenom in Korea
Jin Seok Shim, Hyunggoo Kang, Yongil Cho, Hyungoo Shin, Heekyung Lee
SJR Q1ToxinsOA

Kovax® antivenom is the main treatment for toxins produced by the Gloydius species. However, research on adverse reactions after Kovax® antivenom administration is scarce. We aimed to identify the incidence and characteristics of adverse reactions after Kovax® antivenom administration. We conducted a retrospective review of the medical records of snakebite patients in Korea between January 2008 and September 2019. We identified the frequency, characteristics, and treatments of adverse reactions

GeneticsBiochemistry, Genetics and Molecular Biology
10
Article|14 citations·2022
Long-term prognosis and causes of death among survivors after out-of-hospital cardiac arrest: A population-based longitudinal study
Yongil Cho, Jaehoon Oh, Jeong‐Hun Shin, Byung Sik Kim, Jin‐Kyu Park, Jun Ho Lee, Jae Hwan Kim, Minae Park
SJR Q1Resuscitation
Emergency MedicineMedicine
11
Article|5 citations·2022
Diagnostic Performance of the Rapid Antigen Test as a Screening Tool for SARS-CoV-2 Infection in the Emergency Department
Heekyung Lee, Hyunggoo Kang, Yongil Cho, Jaehoon Oh, Tae-Ho Lim, Byuk-Sung Ko, Juncheol Lee
SJR Q2Journal of Personalized MedicineOA

The rapid antigen test (RAT) has been adopted as a screening tool for SARS-CoV-2 infection in many emergency departments (EDs). We aimed to investigate the diagnostic value of the accuracy of the SARS-CoV-2 RAT as a screening tool in the ED. This retrospective observational study included patients who underwent both RAT and RT−PCR and visited the ED from 1 December 2021 to 15 March 2022. RAT and RT−PCR were performed by appropriately trained physicians. We performed detailed analyses using the E

Infectious DiseasesMedicine
12
Article|5 citations·2020
What muscles need to be trained for high-quality chest compression?
Yongil Cho, Youngjin Lee, Tae Ho Lim, Youngjoon Chee, Jaehoon Oh, Wonhee Kim, Seong‐Ho Jang, Sung Min Kim
SJR Q1Australasian Emergency Care
Emergency MedicineMedicine
13
Article|3 citations·2022
Protective Effect of Breastfeeding Against Febrile Seizure: A Nationwide Study in Korea
Jae Yoon Na, Jong‐Ho Cha, Jin‐Hwa Moon, Heekyung Lee, Yong Joo Kim, Yongil Cho
SJR Q1Pediatric Neurology
Endocrine and Autonomic SystemsNeuroscience
14
Article|2 citations·2023
Arterial Blood Gas Analysis for Survival Prediction in Pediatric Patients with Out-of-Hospital Cardiac Arrest
Sang Hwan Lee, Hyungoo Shin, Yongil Cho, Jaehoon Oh, Hyuk Joong Choi
SJR Q2Journal of Personalized MedicineOA

Arterial blood gas analysis (ABGA) is one of the few tests performed during cardiopulmonary resuscitation (CPR). There have been some studies on the prediction of survival outcomes in adult out-of-hospital cardiac arrest (OHCA) patients during CPR using ABGA results. However, in pediatric OHCA patients, the prognosis of survival outcome based on ABGA results during CPR remains unclear. We retrospectively analyzed prospectively collected data from the Korean Cardiac Arrest Resuscitation Consortiu

Emergency MedicineMedicine
15
Article|1 citations·2024
Synergistic Effect of SARS-CoV-2 Infection and COVID-19 Vaccination on the Risk of Venous Thromboembolism
Kyung Hun Yoo, Sang Hwan Lee, Yongil Cho, Yun Jin Kim, Jun Gon Kim, Tae Ho Lim, Hyunggoo Kang, Jaehoon Oh, Byuk Sung Ko, Juncheol Lee
SJR Q1The American Journal of MedicineOA
SurgeryMedicine

Research Areas

Emergency MedicineInfectious DiseasesMolecular BiologyCardiology and Cardiovascular MedicineComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging

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