Latest AI and machine learning research in arrhythmias for healthcare professionals.
Pulmonary vein isolation (PVI) is key to atrial fibrillation (AF) ablation, but arrhythmia often rec...
Atrial fibrillation (AFib) represents a critical diagnostic challenge in clinical cardiology, callin...
To evaluate performance of artificial intelligence (AI) models using electrocardiogram (ECG) and ech...
Diabetes Mellitus (DM) represents one of the most significant global public health challenges of the...
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...
In this study, the performances of 33 supervised and unsupervised machine learning methods for the a...
Accurate dose prediction is essential for automating radiotherapy planning. In spot scanning proton ...
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...
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...
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...
Magnetocardiography (MCG) captures the magnetic fields generated by myocardial currents, theoretical...
Atrial fibrillation (AF) is a heart condition widely recognized as a significant risk factor for str...
PURPOSE: Intra-operative factors are crucial to early recurrence of hepatocellular carcinoma (HCC) a...
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...