Latest AI and machine learning research in atherosclerosis for healthcare professionals.
AIMS/HYPOTHESIS: Data-driven subtyping of type 2 diabetes has not been translated into clinical practice due to the lack of routine fasting glucose and insulin measurements. We aimed to identify type 2 diabetes subtypes in clinical settings using electronic health records and study their epidemiology. METHODS: We identified 727,076 adults (≥18 years) with newly diagnosed type 2 diabetes from Epic ...
BACKGROUND: Accurate risk stratification post-myocardial infarction (MI) remains challenging. This study aimed to develop interpretable machine learning (ML) models integrating 3D cardiac magnetic resonance (CMR) substrate features to predict major adverse cardiovascular events (MACE) after MI. METHODS: This retrospective study included MI patients who underwent CMR between May 2015 and October 20...
BACKGROUND: Hepatitis E virus (HEV) infection remains a major cause of liver failure with high short-term mortality, yet predictive models incorporati...
Escalating global electronic waste (e-waste) generation contrasts with <20% formal recycling rates. Policy gaps and inadequate enforcement exacerbate ...
Pericoronary adipose tissue (PCAT) is increasingly recognised as a biosensor of vascular inflammation. The guideline-driven widespread adoption of cor...
BACKGROUND: Carotid vessel wall segmentation and determination of the lumen area are crucial for the diagnosis of atherosclerosis. U-Net-based deep le...
BACKGROUND: The purpose of this study is to report on the development of an artificial intelligence (AI) model designed to improve compliance in perio...
BACKGROUND: Stroke is a complex, multidimensional disorder influenced by interacting inflammatory, immune, coagulation, endothelial, and metabolic pat...
BACKGROUND: Leptomeningeal metastasis (LM) is a fatal complication of advanced cancer with limited therapeutic options and poor prognosis. Immune chec...
Even foundational models trained on large-scale datasets may learn to rely on non-relevant artifacts such as background color or color intensity, lead...
Cardiovascular diseases (CVD) are becoming a serious threat to human health. These are considered the leading causes of mortality. Abnormal lipid conc...
Bone defects caused by inflammation, trauma, tumor resection, or tooth extraction present persistent clinical challenges, primarily because of the lim...
BACKGROUND: With the accelerating aging of the global population, muscle health issue occurs commonly as an age-related process in older people. The c...
AIM: APOE genotype may affect statin therapy response. We conducted a meta-analysis to update and quantify this association across various outcomes. M...
BACKGROUND: Cardiorenal-protective sodium-glucose cotransporter-2 inhibitors (SGLT-2i) and glucagon-like peptide-1 receptor agonists (GLP-1RA) lack se...
Pathological and neuroimaging changes in the cerebellum of Alzheimer's disease (AD) patients have been well documented. However, the changes in cerebe...
Cardiovascular disease (CVD) is the leading cause of death and disability globally, highlighting the importance of effective risk assessment and early...
Insulin resistance is suggested to be a risk factor for cancer; however, large-scale epidemiological evidence linking insulin resistance to cancer rem...
Widely used in millions of atherosclerosis treatments, conventional metal stents, although pervasive, only provide mechanical support to narrowed arte...
Type 1 (T1D) and type 2 diabetes (T2D) are both associated with chronic inflammation and endothelial dysfunction, yet their discrimination based on co...