Latest AI and machine learning research in cardiovascular for healthcare professionals.
OBJECTIVE: This study aims to assess the feasibility of "double-low," low radiation dosage and low c...
Sudden cardiac death from ventricular arrhythmias is a leading cause of mortality worldwide. Arrhyth...
To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracrani...
Fundus fluorescein angiography (FFA) is the gold standard for diagnosing chorioretinal diseases, but...
This research emphasizes the role of analytics in evaluating the risk of disease (CVD) focusing on t...
Heart failure (HF) is a severe cardiovascular disease often worsened by respiratory infections like ...
BACKGROUND: Hypertension poses a significant public health challenge in low- and middle-income count...
OBJECTIVE: To evaluate the performance of an artificial intelligence (AI)-enhanced electrocardiograp...
Genetic factors play a critical role in the development of lipoprotein disorders, which significantl...
BACKGROUND: This systematic review evaluates existing risk prediction models for intradialytic hypot...
BACKGROUND: Many women experience suboptimal cardiovascular health (CVH) during midlife. Greenspace ...
Heart transplantation (HTx) remains the definitive treatment for patients with end-stage heart disea...
BACKGROUND: Chronic stroke patients often experience persistent motor impairments, and current rehab...
BACKGROUND: Intradialytic hypotension (IDH) and intradialytic hypertension (IDHTN) are major complic...
Protein lactylation, a novel post-translational modification (PTM), has emerged as a critical factor...
Metabolic Syndrome (MetS) comprises a clustering of conditions that significantly increase the risk ...
The preferred treatment for acute ischaemic stroke (AIS) is intravenous thrombolysis (IVT) administe...
Postoperative pneumonia, a prevalent complication arising from lower limb fracture surgery, can sign...
BACKGROUND: Life-threatening arrhythmias (LTAs) are a leading cause of death worldwide. Enhancing LT...
Real-time Electrocardiogram (ECG) anomaly detection is critical for accurate diagnosis and timely in...
A machine learning model was developed and validated to predict postoperative complications in patie...