Latest AI and machine learning research in myocardial infarction for healthcare professionals.
Patients with rare conditions such as cardiac amyloidosis (CA) are difficult to identify, given the ...
Electrocardiography (ECG) is a very common, non-invasive diagnostic procedure and its interpretation...
The accurate decomposition of a mother's abdominal electrocardiogram (AECG) to extract the fetal ECG...
Conjunctival provocation test (CPT) is used to demonstrate clinical relevance to a specific allerge...
BACKGROUND: Numerous studies have revealed the relationship between lipid expression and increased c...
We have conducted a pragmatic clinical trial aimed to assess whether an electrocardiogram (ECG)-base...
OBJECTIVE: To develop an artificial intelligence (AI)-enabled electrocardiogram (ECG) algorithm capa...
Based on a convolutional neural network (CNN) approach, this article proposes an improved ResNet-18 ...
The standard 12-lead electrocardiogram (ECG) records the heart's electrical activity from electrodes...
Predicting the risk of cardiovascular disease is the key to primary prevention. Machine learning has...
Obstructive sleep apnea (OSA) is a common chronic sleep disorder that disrupts breathing during slee...
Treatment of acute ischemic strokes (AIS) is largely contingent upon the time since stroke onset (TS...
Acquiring electrocardiographic (ECG) signals and performing arrhythmia classification in mobile devi...
Treatment and prevention of cardiovascular diseases often rely on Electrocardiogram (ECG) interpreta...
Cardiac accessory pathways (APs) in Wolff-Parkinson-White (WPW) syndrome are conventionally diagnose...
To evaluate the performance of the classic machine learning algorithms and the effectiveness of vari...
Although digoxin is important in heart rate control, the utilization of digoxin is declining due to ...
This paper presents a novel Electrocardiogram (ECG) denoising approach based on the generative adver...
In the healthcare domain, trust, confidence, and functional understanding are critical for decision ...
Cardiovascular Disease (CVD) is a primary cause of heart problems such as angina and myocardial isch...
To explore a method to predict ECG signals in body area networks (BANs), we propose a hybrid predict...