Cardiovascular

Acute Coronary Syndrome

Latest AI and machine learning research in acute coronary syndrome for healthcare professionals.

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Showing 736-756 of 8,030 articles
Comparison of model-based and expert-rule based electrocardiographic identification of the culprit artery in patients with acute coronary syndrome.

BACKGROUND AND PURPOSE: Culprit coronary artery assessment in the triage ECG of patients with suspec...

May 2015 26025202
A Synergistic Role of Myeloperoxidase and High Sensitivity Troponin T in the Early Diagnosis of Acute Coronary Syndrome.

Aim of this study was to evaluate the role of Myeloperoxidase (MPO) and high sensitive Troponin T in...

Mar 2015 26855491
Prevalence of aspirin resistance in Asian-Indian patients with stable coronary artery disease.

OBJECTIVE: To evaluate the prevalence of pharmacological resistance to aspirin therapy by measuring ...

Jan 2015 24482126
A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data.

BACKGROUND: Venous thromboembolisms (VTEs), which include deep vein thrombosis (DVT) and pulmonary e...

Oct 2014 25332356
Evolution-Guided Engineering of Non-conserved N-Glycosylation Sites Improves Heterologous Production of Sulfotransferases

Escherichia coli features low cost, mature fermentation technology and high recombinant protein outp...

(1)
In PRAISE of Attributes: Grounding Retrieval Geometry with Query-Conditioned Subspaces for Person Re-Identification

Person re-identification (ReID) ranks an image gallery using either an image query or a textual quer...

AI-Driven Analysis of Device Duration in Anesthesiology

Lines, drains, and airway devices are commonly used in surgical and inpatient care to support treatm...

Traditional Machine Learning versus Deep Learning Approaches for Multi-Outcome Perioperative Risk Prediction

Perioperative risk tools such as the ACS NSQIP Surgical Risk Calculator rely on structured variables...

VERDICT: Agreement Beats Pixel-Space Verification in Real-Document OCSR

Optical Chemical Structure Recognition (OCSR) converts 2D molecular depictions in the published lite...

Predicting VHH-Fc Developability from Large-Scale IgG Data

The VHH-Fc antibody scaffold is an emerging therapeutic modality. No public large-scale, standardize...

Machine Learning-Supported Efficient VTE Risk Assessment using Routinely Collected Electronic Health Record Data

Venous thromboembolism (VTE) is a leading cause of preventable inpatient mortality, while the real-w...

Real Data Closes Synthetic-to-Real Gap in Optical Chemical Structure Recognition

Millions of chemical structures appear in patents and papers only as drawings, and using that inform...

Validating Artificial Intelligence Guidance for Ultrasound Acquisition and Remote Interpretation

Background: Venous thromboembolism (VTE), including deep vein thrombosis (DVT), remains a major glob...

Automated Phenotypic Characterization in Rare Hematologic Malignancies Using a Large Language Model-Based Framework

Background. Diagnosis and risk stratification in rare hematologic malignancies such as myeloprolifer...

(2)
ECGLight: Compute-Light Framework For Paper ECG Digitization and Myocardial Infarction Screening

Electrocardiography (ECG) is one of the most widely used tests for diagnosing cardiovascular disease...

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