Latest AI and machine learning research in myocardial infarction for healthcare professionals.
The increasing integration of telehealth systems underscores the importance of robust and secure met...
BACKGROUND: Diagnosis of cardiac amyloidosis (CA) is often delayed due to variability in clinical pr...
There are two widely used methods to measure the cardiac cycle and obtain heart rate measurements: t...
Globally, cardiovascular diseases (CVDs) are a leading cause of death; however, their impact can be ...
OBJECTIVES: Data suggest patients suffering acute coronary occlusion myocardial infarction (OMI) ben...
BACKGROUND: Cardiovascular risk assessment is a critical component of healthcare, guiding preventive...
BACKGROUND: Anomalous origin of coronary artery is a common coronary artery anatomy anomaly. The ano...
Cardiovascular diseases represent the leading global cause of death, typically diagnosed and address...
Deep learning has shown great promise in predicting Atrial Fibrillation using ECG signals and other ...
The multi-lead electrocardiogram (ECG) is widely utilized in clinical diagnosis and monitoring of ca...
INTRODUCTION: Deep learning models for detecting episodes of atrial fibrillation (AF) using rhythm i...
Due to their convenience, adhesive patch-type electrocardiographs are commonly used for arrhythmia s...
Electrocardiogram (ECG) is acquired during Magnetic Resonance Imaging (MRI) to monitor patients and ...
BACKGROUND AND OBJECTIVE: Electrocardiogram (ECG) analysis is crucial in diagnosing cardiovascular d...
INTRODUCTION: Deep learning (DL) models offer improved performance in electrocardiogram (ECG)-based ...
OBJECTIVE: Electrocardiography (ECGs) has been a vital tool for cardiovascular disease (CVD) diagnos...
BACKGROUND: Point-of-care (POC) high-sensitivity cardiac troponin (hs-cTn) assays have been shown to...
We propose a state-of-the-art deep learning approach for accurate electrocardiogram (ECG) signal ana...
Tissue hysteresivity is an important marker for determining the onset and progression of respiratory...
BACKGROUND: The objective of this study was to establish a predictive model utilizing machine learni...
BACKGROUND: Researchers have developed machine learning-based ECG diagnostic algorithms that match o...