Latest AI and machine learning research in atherosclerosis for healthcare professionals.
OBJECTIVE: Artificial intelligence models are increasingly used for stroke risk evaluation and clini...
BACKGROUND: Coronary computed tomography angiography (CCTA) and positron emission tomography/compute...
BACKGROUND: Atherosclerosis (AS) is a complex chronic disease caused by the development of atheroscl...
BACKGROUND: Diabetic kidney disease (DKD) is the primary global cause of end-stage renal disease. Ho...
PURPOSE: Large language models (LLMs) are becoming increasingly popular in medicine and neurosurgery...
BACKGROUND: In China, the associations between long-term fine particulate matter with aerodynamic di...
BACKGROUND: Early recognition of sepsis-related myocardial injury during sepsis remains difficult, p...
BACKGROUND: The Fazekas score is widely used to grade white matter hyperintensities (WMHs) in cerebr...
IMPORTANCE: Although the Martin-Hopkins equation is widely validated and used to estimate low-densit...
Liver ischemia-reperfusion injury (LIRI), a significant complication following liver transplantation...
Cognitive impairment often follows stroke. Regular physical activity has been shown to be associated...
Dual antiplatelet therapy (DAPT) following percutaneous coronary intervention (PCI) is traditionally...
AIMS: Familial hypercholesterolemia (FH) significantly increases cardiovascular risk from childhood ...
BACKGROUND: Herbal adjuncts have gained increasing interest in nonsurgical periodontal therapy becau...
Pulmonary arterial hypertension (PAH) is a rare, progressive disease of the precapillary pulmonary a...
Cardiac computed tomography angiography (CCTA) has evolved in recent years into a central pillar of ...
BACKGROUND: Arginine metabolism shapes tumor growth, stromal activation, and antitumor immunity, yet...
Atherosclerosis remains the primary pathological foundation for severe cardiovascular events. Althou...
Solid organ transplantation has revolutionized the treatment of end-stage diseases, yet long-term gr...
Current state-of-the-art neuroimmune, metabolic, and oxidative stress (NIMETOX) knowledge that has b...
OBJECTIVE: To develop and validate a machine learning model for predicting reduced exercise capacity...