Latest AI and machine learning research in atherosclerosis for healthcare professionals.
Mycosis fungoides (MF) is a rare form of cutaneous T-cell lymphoma that is often misdiagnosed in ear...
Foundation models (FMs) have rapidly become dominant in artificial intelligence and are increasingly...
Background: Matched epigenomic profiling remains scarce in human heart failure, limiting regulatory ...
Background: Aberrant splenic artery (SA), defined as the SA arising from the superior mesenteric art...
Sex differences in Alzheimer's disease (AD) genetic effects and regulatory contexts remain incomplet...
Plaque assays are the gold standard for quantifying infectious virus, yet plaque enumeration is stil...
Understanding why individuals respond differently to psilocybin requires modeling the drug's transcr...
Four-dimensional (4D) flow magnetic resonance imaging (MRI) is a powerful non-invasive technique for...
Accurate segmentation of the coronary vessel lumen is a prerequisite for quantitative assessment of ...
Background Peripheral artery disease (PAD) is a major cause of cardiovascular events but remains und...
Cancer prevalence is distributed unevenly across regions and caused by the interaction of multiple r...
Objectives: To develop and externally validate a wall-focused deep learning framework for identifyin...
BACKGROUND: Coronary angiography remains the reference standard for diagnosing coronary artery disea...
Clinically actionable, patient-specific hemodynamic assessment, specifically wall shear stress, vort...
Background Existing insulin resistance (IR) indices are predominantly developed in diabetic cohorts,...
Plaque assays remain the gold standard for bacteriophage quantification, but routine plaque counting...
Cerebral ischemia is a significant concern during high-risk surgeries, such as carotid endarterectom...
Carotid endarterectomy carries the risk of intraoperative cerebral ischemia, which is monitored by e...
Conventional transepithelial electrical resistance (TEER) technique provides only a low-content anal...
Genome-wide studies of cardiac structure and function have relied on global imaging metrics that fai...
Foundation models trained on electronic healthcare records (EHRs) have gained traction with the aim ...