Latest AI and machine learning research in atherosclerosis for healthcare professionals.
The recurrence of cerebral aneurysms after coil embolization remains a significant concern in clinical practice. This study introduced a novel approach that combines machine learning with deep learning techniques using time-of-flight magnetic resonance angiography to predict aneurysm recurrence. A retrospective multicenter analysis was conducted on 154 patients with coil-embolized unruptured cereb...
BACKGROUND AND OBJECTIVES: Identifying surgical candidates who are prone to poor outcomes is crucial for adapting treatment and ensuring optimal outcomes. Our aim was to use unsupervised machine learning to reveal patient outcome subgroups and identify predictors of attribution to these subgroups in patients with unruptured intracranial aneurysms. METHODS: We retrospectively reviewed 400 patients ...
BACKGROUND: Insulin resistance (IR) indices like the TyG index are predictors of type 2 diabetes (T2DM), but their comparative performance across BMI ...
RNA therapeutics have come of age as clinically validated modalities including mRNA, siRNA, antisense oligonucleotides (ASOs), and in vivo genome edit...
BACKGROUND: Hypoperfusion-induced cerebral infarction remains a significant therapeutic challenge due to limited treatment options. Yiqi Fumai (YQFM),...
BACKGROUND: Machine learning (ML) may improve prediction of atrial fibrillation (AF), but its value compared with traditional models such as Cohorts f...
BACKGROUND: The platelet to white blood cell ratio (PWR) has shown prognostic value in many diseases. Yet its predictive utility for patients with ath...
BACKGROUND: Acute kidney injury (AKI) is a complex multifactorial syndrome characterized by a rapid decline in kidney function, frequently observed in...
BACKGROUND: The pathological process of atherosclerotic cardiovascular disease (ASCVD) involves complex interactions between metabolic dysregulation a...
Microvascular networks (MVNs) formed via endothelial cell self-assembly in 3D hydrogels have emerged as a widely used platform for modeling vasculariz...
BACKGROUND: Over 50% of women evaluated for suspected ischemia have no obstructive coronary artery disease (INOCA). Statins, angiotensin converting en...
INTRODUCTION: Moyamoya disease (MMD) and syndrome (MMS) are rare cerebrovascular arteriopathies marked by progressive internal carotid stenosis, fragi...
Precise localization of coronary arteries in Computed Tomography (CT) scans is critical from the perspective of medical assessment of various heart pa...
Inaccurate information regarding cardiovascular disease (CVD) prevention is prevalent on the internet and may influence medical decisions. Artificial ...
Label-free molecular imaging that enables the construction of a molecular atlas of biological tissues is vital for understanding complex physiological...
BACKGROUND: Exosomes and lactylation modification have been increasingly recognized as key regulators of diseases, yet their integrative role in perio...
Three-dimensional (3D) ultrasound vascular imaging (UVI) is essential for visualizing complex vascular structures. Row-column addressed (RCA) arrays, ...
Flexible sensors encounter significant challenges in subzero temperatures, including mechanical fragility, signal instability, and environmental susta...
OBJECTIVES: Decisions to perform abdominal aortic aneurysm (AAA) repair are dependent on aneurysm size, but variation in size measurement leads to inc...
OBJECTIVE: A substantial proportion of patients (12Â %-25Â %) with recent small subcortical infarction (RSSI) suffer poor functional outcomes at 3Â month...