Latest AI and machine learning research in cardiovascular for healthcare professionals.
RATIONALE AND OBJECTIVES: This study aims to evaluate the capability of machine learning algorithms ...
This study aimed to propose a portable and intelligent rehabilitation evaluation system for digital ...
This study aims to automate the segmentation of retinal arterioles and venules (A/V) from digital fu...
Almost 35 years after its introduction, coronary artery calcium score (CACS) not only survived techn...
To predict endoleaks after thoracic endovascular aneurysm repair (TEVAR) we submitted patient charac...
BACKGROUND: Machine learning (ML) classifiers are increasingly used for predicting cardiovascular di...
OBJECTIVES: Dark-blood late gadolinium enhancement (DB-LGE) cardiac magnetic resonance has been prop...
BACKGROUND: Intracardiac or pulmonary right-to-left shunt (RLS) is a common cardiac anomaly associat...
As of now, a model for predicting the survival of patients with out-of-hospital cardiac arrest has n...
Heart failure (HF) is a leading cause of morbidity and mortality in the United States and worldwide,...
BACKGROUND: Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is a standardized semi-...
Hyperuricemia (HUA) is a symptom of high blood uric acid (UA) levels, which causes disorders such as...
INTRODUCTION: Cardiac rehabilitation (CR) delivered by rehabilitation specialists in a healthcare se...
A 30-yr-old patient with Becker muscular dystrophy presented with stroke. Background issues of proxi...
OBJECT: The aim of this study was at building an effective machine learning model to contribute to t...
Accurate reconstruction of a high-resolution 3D volume of the heart is critical for comprehensive ca...
PURPOSE: Strokes are severe cardiovascular and circulatory diseases with two main types: ischemic an...
Preclinical management of patients with acute chest pain and their identification as candidates for ...
BACKGROUND: Sinus node dysfunction because of abnormal impulse generation or sinoatrial conduction b...
The quantification of carotid plaque has been routinely used to predict cardiovascular risk in cardi...
Cardiovascular disease has become a common ailment that endangers human health, having garnered wide...