Latest AI and machine learning research in myocardial infarction for healthcare professionals.
BACKGROUND: Pulmonary hypertension (PH) is life-threatening, and often diagnosed late in its course....
Background Patients presenting to the emergency department (ED) with acute chest pain (ACP) syndrome...
Electrocardiography is the gold standard technique for detecting abnormal heart conditions. Automati...
In the past decade, the scale of e-commerce has continued to grow. With the outbreak of the COVID-19...
A major challenge in artificial intelligence based ECG diagnosis lies that it is difficult to obtain...
INTRODUCTION: S-ICD eligibility is assessed at pre-implant screening where surface ECG traces are us...
In biomedical science, analyzing treatment effect heterogeneity plays an essential role in assisting...
The human body is designed to experience stress and react to it, and experiencing challenges causes ...
OBJECTIVE: Early revascularization of the occluded coronary artery in patients with ST elevation myo...
The non-invasive electrocardiogram (ECG) signals are useful in heart condition assessment and are fo...
Obstructive sleep apnea (OSA) syndrome is a common sleep disorder and a key cause of cardiovascular ...
There is increasing focus on applying deep learning methods to electrocardiograms (ECGs), with recen...
The utilization of unlabeled electrocardiogram (ECG) data is always a critical topic in artificial i...
Heart failure (HF) is a serious condition in which the heart fails to supply the body with enough ox...
Myocardial infarction diagnosis is a common challenge in the emergency department. In managed settin...
BACKGROUND: Brugada syndrome is a potential cause of sudden cardiac death (SCD) and is characterized...
Our aim was to identify and quantify high coronary artery calcium (CAC) with deep learning (DL)-powe...
According to the STEMI paradigm, only patients whose ECGs meet STEMI criteria require immediate repe...
. In recent years, deep learning has blossomed in the field of electrocardiography (ECG) processing,...
Automatic detection of arrhythmia based on electrocardiogram (ECG) plays a critical role in early pr...
This work presents an on-chip analog-to-information conversion technique that utilizes analog hyper-...