Atherosclerosis

The diagnostic and predictive value of AI-combined multilayer spiral CT for MACE after emergency PCI in STEMI patients: A prospective cohort study.

ST-segment elevation myocardial infarction (STEMI) patients remain at substantial risk for major adverse cardiovascular events (MACE) following emergency percutaneous coronary intervention (PCI). The integration of artificial intelligence (AI) with coronary computed tomography angiography (CCTA) may enhance risk stratification beyond traditional clinical scores. This prospective cohort study enrol...

Disulfidptosis-related signatures identify SPARC+/CYR61+ stromal cells mediating immunosuppression in gastric cancer.

BACKGROUND: Disulfidptosis is a novel form of glucose starvation-induced cell death, yet its prognostic implications in gastric cancer (GC) remain largely undefined. METHODS: We integrated single-cell and bulk multi-omics data to identify core disulfidptosis-related genes. A robust Cox regression-based prognostic model was constructed. Machine learning combined with single-cell interaction analyse...

Machine Learning-Based single-cell characterization of lipid metabolic reprogramming in prostate cancer.

Prostate cancer (PCa) is one of the most prevalent malignancies in men worldwide, and metabolic reprogramming particularly of lipid metabolism plays a...

Interpretable machine learning reveals the synergistic impact of essential hypertension on early recurrence in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) patients often ential hypertension, yet how systemic vascular stress synergizes with tumor aggressiveness to driv...

Maternal circulating lipid metabolic heterogeneity in preeclampsia: machine learning identifies clinically distinct subtypes.

BACKGROUND: Preeclampsia is associated with dyslipidemia. Maternal circulating lipid profiles may reflect underlying placental-metabolic interactions....

The Unseen Aneurysm: Can Artificial Intelligence Bridge the Diagnostic Gap in Angiogram-Negative Subarachnoid Hemorrhage?

Evaluating expert decision-pattern alignment in endovascular planning for intracranial aneurysms using a multimodal large language model.

BACKGROUND: Endovascular treatment planning for intracranial aneurysms requires integrating vascular geometry, branch preservation, device feasibility...

Hypoperfusion Intensity Ratio as a Predictive Marker in Pre-Endovascular Treatment Perfusion MRI for Acute Middle Cerebral Artery Occlusion with Intracranial Atherosclerosis.

Introduction Identifying the cause of MCA occlusion before endovascular treatment (EVT) in acute ischemic stroke is useful. Hypoperfusion intensity ra...

AneuSI: A software tool to isolate a region of interest in cerebral aneurysms from full geometrical models.

BACKGROUND AND OBJECTIVE: Modeling cerebral aneurysms using patient-specific geometries demands significant computational resources, particularly when...

Benzo(a)pyrene aggregating lung inflammation via inducing IL1R1 expression in asthma: Insights from network toxicology, single-cell transcriptomics, and Mendelian randomization.

OBJECTIVE: Exposure to benzo(a)pyrene (BaP) negatively affects lung inflammation in patients with asthma. However, there is a lack of systematic resea...

Multicenter evaluation of real-time artificial intelligence assistance for carotid artery stenting.

BACKGROUND: Unintended device movement during carotid artery stenting (CAS) may lead to procedural complications. Our previous preliminary single-cent...

Serial OCT-based coronary physiology and plaque composition in vessels with nonobstructive coronary lesions following intensive lipid-lowering therapy: YELLOW III sub-study.

BACKGROUND AND AIMS: Non-obstructive coronary plaques are a major source of future coronary events, particularly when characterized by high lipid burd...

Bibliometric analysis of research hotspots in coronary artery CT fractional flow reserve for diagnosing myocardial ischemia in coronary artery disease.

OBJECTIVE: This study aimed to conduct a comprehensive bibliometric analysis to map the global research landscape, identify evolving hotspots, and for...

Screening of atherosclerosis diagnostic markers based on lymphangiogenesis-related genes and analysis of immunological characteristics.

BACKGROUND: Atherosclerosis (AS) was a major cause of cardiovascular disease, and traditional diagnostic methods often fail to detect AS promptly and ...

Coronary computed tomography angiography to guide percutaneous coronary intervention: proceedings from the 1st CCTA-guided PCI summit in the United States.

Coronary computed tomography angiography (CCTA) can be used beyond diagnostic purposes to support the preprocedural planning of percutaneous coronary ...

Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and the characteristics of carotid artery plaques: a retrospective study and machine learning model construction.

BACKGROUND: Low-echo plaques are closely related to stroke. Non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NH...

Machine learning derived abdominal aortic calcification is associated with physical frailty in community-dwelling adults: the UK Biobank Imaging Study.

Clinical cardiovascular disease (CVD) is often present in frail individuals. However, it remains unclear whether subclinical CVD, e.g., abdominal aort...

Interpretability of multimodal neural networks for prediction of visual acuity in patients with branch retinal vein occlusion.

Branch retinal vein occlusion (BRVO) can cause persistent visual impairment, and predicting long-term best-corrected visual acuity (BCVA) after anti-v...

Cardiometabolic multimorbidity and atrial fibrillation: insights from traditional statistical and artificial intelligence approaches.

BACKGROUND: Cardiometabolic multimorbidity (CMM) is increasingly prevalent among patients with atrial fibrillation (AF), yet its independent impact on...

Single-cell RNA sequencing in ovarian cancer: decoding the tumor microenvironment for personalized therapy.

Ovarian cancer (OC) remains a leading cause of mortality among gynecological malignancies, largely due to profound inter- and intra-tumoral heterogene...