Latest AI and machine learning research in atherosclerosis for healthcare professionals.
Despite advances in research and patient management, atherosclerosis and its dreaded acute and chron...
In cardiovascular research, electromagnetic fields (EMFs) induced by Riga plates are applied to stud...
Cell-cell interactions are crucial for understanding various physiological and pathological processe...
AIM: The study aims to investigate the prognostic value of deep learning based pericoronary adipose ...
Endovascular Aneurysm Repair (EVAR) is a minimally invasive procedure crucial for treating abdominal...
Deforestation, urbanization, and climate change have significantly increased the risk of zoonotic di...
Several large analyses have revealed contradictory results regarding the association between prostat...
BACKGROUND: Stress hyperglycemia ratio (SHR) and glycemic variability (GV) reflect acute glucose ele...
Angiogenesis, the formation of new blood vessels, is a fundamental biological process with implicati...
BACKGROUND: Traditional statistical methods have dominated research on peripartum depression (PPD), ...
Background Chest pain is a leading cause of outpatient and emergency department visits; advancements...
Artificial intelligence (AI), a branch of computer science focused on developing algorithms that rep...
OBJECTIVE: To outline immune-cell infiltration and identify diagnostic genes for atherosclerosis (AS...
In the past few years, computed tomography coronary angiography (CTCA) has rapidly become a widely u...
Purpose To evaluate a sham-artificial intelligence (AI) model acting as a placebo control for a stan...
Activation of NLRP3 (NOD-like receptor family, pyrin domain-containing protein 3) has been associate...
BACKGROUND: Coronary artery plaque rupture (PR) is closely associated with immune-inflammatory respo...
The blood brain barrier (BBB) is an endothelial-derived structure which restricts the movement of ce...
Carotid-femoral pulse wave velocity (cf-PWV) is an important but difficult to obtain measure of arte...
Background Recent studies have investigated how deep learning (DL) algorithms applied to CT using tw...
Artificial intelligence (AI) has transformed medical imaging by detecting insights and patterns ofte...