Ki Hyun Jeon

None.

The DAMI predicted in-hospital mortality and 12-month mortality of AMI patients more accurately than the existing risk scores and other machine-learning methods.

Cardiac trauma from penetrating chest injury is a life-threatening condition. It was reported that < 10% of patients arrives at the emergency department alive. Penetrating chest injury can cause serious damage in more than 1 cardiac structure, including myocardial lacerations, ventricular septal defect (VSD), fistula between aorta and right cardiac chamber and valves. The presence of pericardial effusion (even a small amount) on the initial echocardiography might be the only clue to serious card

Aims: Paroxysmal supraventricular tachycardia (PSVT) is not detected owing to its paroxysmal nature, but it is associated with the risk of cardiovascular disease and worsens the patient quality of life. A deep learning model (DLM) was developed and validated to identify patients with PSVT during normal sinus rhythm in this multicentre retrospective study. Methods and results: This study included 12 955 patients with normal sinus rhythm, confirmed by a cardiologist. A DLM was developed using 31 1

The DLA accurately identified paroxysmal AF using 12-lead SR ECG in patients with ESUS and outperformed the conventional models. The DLA model along with the traditional AF risk factors could be a useful tool to identify paroxysmal AF in ESUS patients.

Abstract Background Diabetes mellitus (DM) is associated with thrombogenicity, clinically manifested with atherothrombotic events after percutaneous cutaneous intervention (PCI). This study aimed to investigate association between DM status and platelet reactivity, and their prognostic implication in PCI-treated patients. Methods The Platelet function and genoType-Related long-term Prognosis-Platelet Function Test (PTRG-PFT) cohort was established to determine the linkage of platelet function te

Electrocardiogram (ECG) changes after primary percutaneous coronary intervention (PCI) in ST-segment elevation myocardial infarction (STEMI) patients are associated with prognosis. This study investigated the feasibility of predicting left ventricular (LV) dysfunction in STEMI patients using an artificial intelligence (AI)-enabled ECG algorithm developed to diagnose STEMI. Serial ECGs from 637 STEMI patients were analyzed with the AI algorithm, which quantified the probability of STEMI at variou

BACKGROUND: It is not well-known which components of central blood pressure (CBP) are more influential to target organ damage (TOD). This study aimed to determine the relationship between CBP measurements and various types of TOD in high-risk patients. METHODS: A total of 148 patients who had documented atherosclerotic cardiovascular disease or its multiple risk factors were prospectively enrolled. CBP was measured by using applanation tonometry of the radial artery. The following nine TOD param

Abstract Background Anemia changed the morphology of electrocardiography (ECG), and researchers suggested that mismatching oxygen demand and supply in the myocardium affects the ECG Purpose A deep-learning-based algorithm (DLA) that enables non-invasive anemia screening from electrocardiograms (ECGs) may improve the detection of anemia. Methods A DLA was developed using 57,435 ECGs from 31,898 patients and was internally validated using 7,369 ECGs from 7,369 patients taken at one hospital. Exter

This study developed a machine learning-based Clinical Decision Support System (CDSS) by integrating an AI-derived Congestion Index (CIx) from chest X-rays with clinical and laboratory data in patients with acute decompensated heart failure (ADHF). Among 9,286 patients, the model incorporating imaging data showed the highest predictive accuracy (AUROC 0.750). CIx demonstrated prognostic performance comparable to NT-proBNP and showed a significant increase in event rates across quartiles. The fin

Objective: In hypertensive patients, U-shaped relationship has been reported between blood pressure and future events. However, there is little information about the significance of blood pressure on the outcomes of patients with coronary artery disease who underwent revascularization. We assessed the risk of cardiovascular events according to diastolic blood pressure (DBP) at discharge in patients with acute myocardial infarction (AMI) underwent percutaneous coronary intervention (PCI). Design

Medical therapies and mechanical interventions for the treatment of myocardial infarction (MI) and ischemic heart failure have seen great progress. However, current therapies only slow the progression to heart failure, but do not stimulate regeneration to recover the loss of functional myocytes. Stem cell-based therapy is a novel modality that can potentially be used for the treatment of ischemic cardiac injury and heart failure wherein cardiac tissue is regenerated thereby improving cardiac fun

Statistical analysis is essential for drawing meaningful conclusions and ensuring the validity and reliability of medical research.However, many researchers face challenges due to the complexity of statistical techniques.Recent advances in artificial intelligence, particularly large language models such as ChatGPT, offer new opportunities to make statistical processes more accessible.ChatGPT can explain complex statistical concepts in plain language, assist with data management, generate Python