Latest AI and machine learning research in myocardial infarction for healthcare professionals.
Diabetes Mellitus (DM) represents one of the most significant global public health challenges of the...
Ischemic heart disease (IHD) remains the leading cause of morbidity and mortality worldwide, imposin...
This study aims to develop and evaluate an ensemble machine learning-based framework for the automat...
The scientific literature on artificial intelligence-enabled electrocardiography (AI-ECG) has define...
Several artificial intelligence-enhanced electrocardiogram (AI-ECG) models have shown promise in det...
Despite its broadening indications, the implantable cardiac monitor (ICM) records a narrow, nonstand...
Intracranial pressure (ICP) monitoring is commonly used in neuro-intensive care, but its utility may...
Pericardial effusion can progress to life-threatening cardiac tamponade when large or rapidly accumu...
Heart failure with preserved ejection fraction (HFpEF) accounts for over half of all heart failure c...
Cardiovascular disease (CVD) remains a leading global health threat, responsible for one in five dea...
Preoperative cardiovascular (CV) risk stratification is essential in non-cardiac surgery, but conven...
Cardiovascular disease (CVD) remains the leading cause of mortality globally, with many events occur...
Atrial fibrillation (AF) is a heart condition widely recognized as a significant risk factor for str...
Cardiovascular diseases (CVDs) have surpassed cancer and become the major cause of death worldwide. ...
The adoption of deep learning in ECG diagnosis is often hindered by the scarcity of large, well-labe...
Recent endeavors have led to the exploration of Machine Learning (ML) to enhance the detection and a...
OBJECTIVE: Evaluate popular explanation methods using heatmap visualizations to explain the predicti...
Photoplethsmography (PPG)-based individual identification aiming at recognizing humans via intrins...
This study proposes a novel lightweight neural network model leveraging features extracted from el...
During long-term electrocardiogram (ECG) monitoring, various types of noise inevitably become mixed ...
Study Objectives: We investigate Mamba-based deep learning approaches for sleep staging on signals...