Cardiovascular

Acute Coronary Syndrome

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

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Showing 316-336 of 6,674 articles
Physicochemical property based computational scheme for classifying DNA sequence elements of Saccharomyces cerevisiae.

GenerationE of huge "omics" data necessitates the development and application of computational metho...

Cardiac Troponin I: Ultrasensitive Detection Using Faradaic Electrochemical Impedance.

An electrochemical biosensor for the detection of cardiac troponin I, cTnI, an important cardiac bio...

Anticoagulant Related Nephropathy Induced by Dabigatran.

We describe a case of biopsy-proven dabigatran related nephropathy in a patient without underlying I...

Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System.

Poor electronic medical record (EMR) usability is detrimental to both clinicians and patients. A bet...

Machine-learned models using hematological inflammation markers in the prediction of short-term acute coronary syndrome outcomes.

BACKGROUND: Increased systemic and local inflammation play a vital role in the pathophysiology of ac...

Adversarial MACE Prediction After Acute Coronary Syndrome Using Electronic Health Records.

Acute coronary syndrome (ACS), as an emergent and severe syndrome due to decreased blood flow in the...

Antithrombotic Management during Percutaneous Mitral Valve Repair with the Mitraclip System in a Patient with Heparin-Induced Thrombocytopenia.

Interventional cardiology procedures require full anticoagulation to prevent thrombus formation on c...

Ensemble of machine learning algorithms using the stacked generalization approach to estimate the warfarin dose.

Warfarin dosing remains challenging due to narrow therapeutic index and highly individual variabilit...

Therapeutic Enoxaparin in the Morbidly Obese Patient: A Case Report and Review of the Literature.

Enoxaparin is a low molecular weight heparin commonly used in the treatment of venous thromboembolis...

Scan-specific robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction: Database-free deep learning for fast imaging.

PURPOSE: To develop an improved k-space reconstruction method using scan-specific deep learning that...

Analytical Concordance of Diverse Point-of-Care and Central Laboratory Troponin I Assays.

BACKGROUND: Cardiac troponin I (cTnI) 99th percentile cutoffs, used in the diagnosis of acute myocar...

Real-time microrobot posture recognition via biplane X-ray imaging system for external electromagnetic actuation.

PURPOSE: As a promising intravascular therapeutic approach for autonomous catheterization, especiall...

Low Protein Z Level: A Thrombophilic Risk Biomarker for Acute Coronary Syndrome.

Acute coronary syndrome (ACS) encompasses a range of thrombotic coronary artery diseases. Protein Z ...

Autonomous detection, grading, and reporting of postoperative complications using natural language processing.

INTRODUCTION: Natural language processing, a computer science technique that allows interpretation o...

Effect of Health and Training on Ultrasensitive Cardiac Troponin in Marathon Runners.

PURPOSE: Cardiac troponin (cTn) is the gold standard biomarker for assessing cardiac damage. Previou...

Simulation of patient flow in multiple healthcare units using process and data mining techniques for model identification.

INTRODUCTION: An approach to building a hybrid simulation of patient flow is introduced with a combi...

Viscosity Prediction in a Physiologically Controlled Ventricular Assist Device.

OBJECTIVE: We present a novel machine learning model to accurately predict the blood-analog viscosit...

Left Atrial Appendage Segmentation Using Fully Convolutional Neural Networks and Modified Three-Dimensional Conditional Random Fields.

Thrombosis has become a global disease threatening human health. The left atrial appendage (LAA) is ...

High Incidence of Deep Vein Thrombosis in the Perioperative Period of Neurosurgical Patients.

INTRODUCTION: A prospective study was designed to elucidate incidence and predictors of deep venous ...

Serum Troponin I levels among hypertensive Military Service Personnel at a Military Health Facility in Abuja, Nigeria.

Hypertension constitutes one of the major metabolic disease in Nigeria especially among military per...

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