AI Medical Compendium Journal:
Frontiers in cardiovascular medicine

Showing 11 to 20 of 38 articles

Construction and validation of a readmission risk prediction model for elderly patients with coronary heart disease.

Frontiers in cardiovascular medicine
BACKGROUND: To investigate the risk factors for readmission of elderly patients with coronary artery disease, and to construct and validate a predictive model for readmission risk of elderly patients with coronary artery disease within 3 years by app...

Prediction of postoperative stroke in patients experienced coronary artery bypass grafting surgery: a machine learning approach.

Frontiers in cardiovascular medicine
BACKGROUND: Coronary artery bypass grafting (CABG) surgery has been a widely accepted method for treating coronary artery disease. However, its postoperative complications can have a significant effect on long-term patient outcomes. A retrospective s...

A bibliometric analysis of abdominal aortic aneurysm (2014-2024).

Frontiers in cardiovascular medicine
BACKGROUND: Abdominal aortic aneurysm (AAA) is a localized bulge of the abdominal aorta, which mainly manifests as a pulsatile mass in the abdomen. Once an abdominal aortic aneurysm ruptures, the patient's life is seriously endangered. Surgery is the...

Identification of patients with unstable angina based on coronary CT angiography: the application of pericoronary adipose tissue radiomics.

Frontiers in cardiovascular medicine
OBJECTIVE: To explore whether radiomics analysis of pericoronary adipose tissue (PCAT) captured by coronary computed tomography angiography (CCTA) could discriminate unstable angina (UA) from stable angina (SA).

Identification of transcription factor-lipid droplet-related gene biomarkers for the prognosis of post-acute myocardial infarction-induced heart failure.

Frontiers in cardiovascular medicine
INTRODUCTION: Patients with acute myocardial infarction (AMI) are at high risk of progressing to heart failure (HF). Recent research has shown that lipid droplet-related genes (LDRGs) play a crucial role in myocardial metabolism following MI, thereby...

Artificial intelligence-assisted echocardiographic monitoring in pediatric patients on extracorporeal membrane oxygenation.

Frontiers in cardiovascular medicine
BACKGROUND: Percutaneous extracorporeal membrane oxygenation (ECMO) is administered to pediatric patients with cardiogenic shock or cardiac arrest. The traditional method uses focal echocardiography to complete the left ventricular measurement. Howev...

SMOC2, OGN, FCN3, and SERPINA3 could be biomarkers for the evaluation of acute decompensated heart failure caused by venous congestion.

Frontiers in cardiovascular medicine
BACKGROUND: Venous congestion (VC) sets in weeks before visible clinical decompensation, progressively increasing cardiac strain and leading to acute heart failure (HF) decompensation. Currently, the field lacks a universally acknowledged gold standa...

Screening and regulatory mechanism exploration of M1 macrophage polarization and efferocytosis-related biomarkers in coronary heart disease.

Frontiers in cardiovascular medicine
BACKGROUND: Macrophage polarization and efferocytosis have been implicated in CHD. However, the underlying mechanisms remain elusive. This study aimed to identify CHD-associated biomarkers using transcriptomic data.

Development and evaluation of a machine learning model for post-surgical acute kidney injury in active infective endocarditis.

Frontiers in cardiovascular medicine
INTRODUCTION: Acute kidney injury (AKI) is notably prevalent after cardiac surgery for patients with active infective endocarditis. This study aims to create a machine learning model to predict AKI in this high-risk group, improving upon existing mod...

Data sources and applied methods for paclitaxel safety signal discernment.

Frontiers in cardiovascular medicine
BACKGROUND: Following the identification of a late mortality signal, the Food and Drug Administration (FDA) convened an advisory panel that concluded that additional clinical study data are needed to comprehensively evaluate the late mortality signal...