Latest AI and machine learning research in atherosclerosis for healthcare professionals.
Vascular aging is a fundamental contributor to the development of chronic diseases and has emerged as a critical focus in biomedical research. With the rapid advancement of artificial intelligence (AI), new opportunities have arisen to enhance the precision and efficiency of vascular aging studies. AI techniques, particularly those applied to large-scale multi-omics and medical imaging data, enabl...
Saphenous vein graft (SVG) percutaneous coronary intervention (PCI) remains technically challenging and clinically high risk due to the friable, thrombus-rich nature of SVG lesions, which predispose to distal embolization, no-reflow, and periprocedural myocardial infarction (MI). The role of embolic protection devices in contemporary practice remains unclear. Although early randomized trials demon...
Tumor vasculature has traditionally been viewed as structurally and functionally abnormal and, therefore, is primarily targeted for inhibition. Howeve...
Despite continuously evolving medical advances, CVD risk in Rheumatoid Arthritis (RA) remains paradoxically high to date. Carotid intima-media thickne...
Diabetic foot ulcer (DFU) is a severe complication of diabetes, characterized by chronic inflammation and impaired healing. Although cellular and immu...
PURPOSE: This study aimed to determine if an integrated structured reporting (SR) tool incorporating results from artificial intelligence (AI) enabled...
OBJECTIVES: Carotid atherosclerosis is an established risk factor for cognitive impairment. FDG-PET detects subtle inflammatory changes in the arteria...
Spaceflight-associated neuro-ocular syndrome (SANS) poses significant ocular health risks in long-duration missions, yet its molecular mechanisms rema...
Emerging evidence indicates that aberrant cholesterol metabolism in macrophages plays a role in tumorigenesis, however, how specific metabolites relea...
INTRODUCTION: The constantly evolving nature of diseases has put humanity in a never- ending struggle for survival, adapting to each disease and fight...
BACKGROUND: The retina shares developmental origin, microvascular anatomy, and barrier physiology with the brain, making non-invasive retinal imaging ...
Achieving noninvasive high-frequency monitoring of ischemic stroke (IS) remains a major clinical challenge for timely intervention and precise seconda...
BACKGROUND: The occurrence and development of atherosclerosis (AS) are closely related to disorders of lipid metabolism and dysfunction of autophagy. ...
Vasculogenic mimicry (VM), a novel endothelial-independent blood perfusion pathway, is linked to advanced stage and poor prognosis in esophageal squam...
BACKGROUND: The American Heart Association (AHA) recently proposed the concept of Cardiovascular-Kidney-Metabolic (CKM) syndrome, highlighting the str...
INTRODUCTION: The diagnostic pathway for coronary artery disease (CAD) is actively transitioning toward noninvasive risk stratification. This review c...
Inflammatory rheumatic diseases (IRDs) represent a significant risk factor for cerebrovascular events, independent of traditional cardiovascular risk ...
Purpose To develop and validate an end-to-end autonomous platform for the quantification and visualization of brain aneurysm and parent artery morphol...
Major depressive disorder (MDD) is strongly associated with suicide risk. While lipid metabolism dysregulation is implicated in MDD pathophysiology, i...
Endothelial cells play a crucial role in the pathogenesis of acute respiratory distress syndrome (ARDS). The Endothelial Activation and Stress Index (...