Latest AI and machine learning research in myocardial infarction for healthcare professionals.
PURPOSE OF REVIEW: To (i) review the concept of artificial intelligence (AI); (ii) summarize recent ...
BACKGROUND: Cardiac resynchronization therapy (CRT) improves heart failure outcomes but has signific...
Electrocardiography (ECG) remains an irreplaceable tool in the management of the patients with myoca...
OBJECTIVE: The localization of origins of premature ventricular contraction (PVC) is the key factor ...
BACKGROUND: The electrocardiogram (ECG) is one of the most commonly used diagnostic tools in medicin...
Low CFR is associated with poor prognosis, whereas it is a heterogeneous condition according to the ...
BACKGROUND: Market-applicable concurrent electrocardiogram (ECG) diagnosis for multiple heart abnorm...
Artificial intelligence (AI) is developing rapidly in the medical technology field, particularly in ...
New-era soft microrobots for biomedical applications need to mimic the essential structures and coll...
Deep neural networks (DNN) are state-of-the-art machine learning algorithms that can be learned to s...
Atrial fibrillation is the most common arrhythmia and is associated with high morbidity and mortalit...
BACKGROUND The correct interpretation of the ECG is pivotal for the accurate diagnosis of many cardi...
The electrocardiogram (ECG) is the most common tool used to predict left ventricular hypertrophy (LV...
The electrocardiogram (ECG) is a widely used medical test, consisting of voltage versus time traces ...
Atrial fibrillation (AF) is a cardiac arrhythmia which is characterized based on the irregsular beat...
This study attempted to multimodally measure mental workload and validate indicators for estimating ...
Accurately diagnosing sleep disorders is essential for clinical assessments and treatments. Polysomn...
The measurement of human vital signs is a highly important task in a variety of environments and app...
Automated electrocardiogram (ECG) analysis for arrhythmia detection plays a critical role in early p...
The automatic detection of atrial fibrillation (AF) is crucial for its association with the risk of ...
The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the accura...