Latest AI and machine learning research in acute coronary syndrome for healthcare professionals.
BACKGROUND: Artificial intelligence (AI) integrated with point-of-care imaging is a promising approach to expand access in settings with limited specialist availability. However, no systematic review has comprehensively evaluated AI-assisted clinical decision support across multiple point-of-care imaging modalities, assessed explainability implementation, or quantified clinical impact evidence gap...
BACKGROUND: Non-ST-segment elevation acute coronary syndrome (NSTE-ACS) is a leading cause of acute chest pain in clinical practice. Magnetocardiography (MCG) is a non-invasive and rapid functional imaging technique with high sensitivity to early, subtle electrophysiological changes associated with myocardial ischemia. AIMS: To develop and validate a machine learning (ML)-based diagnostic model fo...
Heart failure remains a major global burden, and limited donor availability has made left ventricular assist devices (LVADs) a critical alternative. H...
BACKGROUND: Atrial fibrillation (AF) and atrial flutter (AFL) are common arrhythmias associated with the risk of ischemic stroke, which can be reduced...
BACKGROUND: Young patients with acute coronary syndrome (ACS) exhibit diverse demographic, clinical and angiographic characteristics. We hypothesized ...
OBJECTIVES: To evaluate the feasibility of a non-contrast cardiac magnetic resonance (CMR)-based deep learning (DL) model for predicting left ventricu...
Patients with spontaneous intracerebral hemorrhage (sICH) are at high risk for venous thromboembolism (VTE), a complication strongly associated with a...
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is characterized by substantial heterogeneity in both clinical phenotype and risk of adverse outcomes, i...
While non-contrast computed tomography (NCCT) is the primary imaging modality in emergency settings, it has a low sensitivity for detection of Cereb...
UNLABELLED: Inappropriate perioperative anesthesia (PA) drug management may lead to the detrimental clinical outcomes of Kawasaki disease (KD) patient...
Blood gas analysis remains one of the most indispensable diagnostic tools in critical care, yet increasing automation often obscures its analytical fo...
In their recently published article (DOI: 10.1021/acs.analchem.5c03117), Xu et al. argue that the detection of differentially abundant proteins in pro...
In this response, we address key points by commentators on our previous article, "Unsupervised Machine Learning for Differential Analysis in Proteomic...
ETHNOPHARMACOLOGICAL RELEVANCE: Hypecoi Erecti Herba, derived from plants of the genus Hypecoum (Papaveraceae), includes two source species: Hypecoum ...
Tennis leg is a common cause of acute posteromedial calf pain and encompasses a spectrum of injuries involving the posterior calf. Although initially ...
OBJECTIVE: To compare the analgesic efficacy and safety of liposomal bupivacaine (LB) versus ropivacaine for surgical incision local anesthesia after ...
Neutrophil-mediated persistent inflammation and neutrophil extracellular trap formation (NETosis) are critical in the pathogenesis of deep vein thromb...
BACKGROUND: Oxidative stress (OS) plays a key role in many pathologies, yet the non-invasive, label-free, and cost-effective detection remains a chall...
BACKGROUND: Despite the established antithrombotic benefits of aspirin in cardiovascular disease, its efficacy remains controversial for critically il...
BACKGROUND: We aimed to evaluate the utility of 5-T Gadolinium-ethoxybenzyl diethylenetriaminepentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonan...