Cardiovascular

Acute Coronary Syndrome

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

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Showing 274-294 of 6,674 articles
Evaluation of the ACS NSQIP surgical risk calculator in patients undergoing pelvic organ prolapse surgery.

INTRODUCTION AND HYPOTHESIS: The purpose of this study was to evaluate the accuracy of the American ...

Mechanical heart valves and pregnancy: Issues surrounding anticoagulation. Experience from two obstetric cardiac centres.

BACKGROUND: Pregnant women with mechanical heart valves are at significant risk of obstetric/cardiac...

Myocardial infarction evaluation from stopping time decision toward interoperable algorithmic states in reinforcement learning.

BACKGROUND: The Elliot wave principle commonly characterizes the impulsive and corrective wave trend...

SS-SWT and SI-CNN: An Atrial Fibrillation Detection Framework for Time-Frequency ECG Signal.

Atrial fibrillation is the most common arrhythmia and is associated with high morbidity and mortalit...

Intelligent classification of platelet aggregates by agonist type.

Platelets are anucleate cells in blood whose principal function is to stop bleeding by forming aggre...

Opening the black box of machine learning in radiology: can the proximity of annotated cases be a way?

Machine learning (ML) and deep learning (DL) systems, currently employed in medical image analysis, ...

Sulodexide modulates the dialysate effect on the peritoneal mesothelium.

Peritoneal membrane damage during chronic peritoneal dialysis is the main cause of that treatment fa...

Detecting vulnerable plaque with vulnerability index based on convolutional neural networks.

Plaque rupture and subsequent thrombosis are major processes of acute cardiovascular events. The Vul...

Machine learning detection of Atrial Fibrillation using wearable technology.

BACKGROUND: Atrial Fibrillation is the most common arrhythmia worldwide with a global age adjusted p...

Predicting Chronic Subdural Hematoma Recurrence and Stroke Outcomes While Withholding Antiplatelet and Anticoagulant Agents.

The aging of the western population and the increased use of oral anticoagulation (OAC) and antipla...

Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation.

IMPORTANCE: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, and its early ...

Serum amyloid A4 is a procoagulant apolipoprotein that it is elevated in venous thrombosis patients.

BACKGROUND: Serum amyloid A4 (SAA4) is an apolipoprotein that is in the SAA family and it is constit...

Transcriptome analysis and identification of genes associated with chicken sperm storage duration.

The sperm storage tubules located in the mucosal folds of the uterovaginal junction (UVJ) are the pr...

Correlation of Troponin Level (Troponin T, Troponin I) With PELOD-2 Score in Sepsis as a Predictive Factor of Mortality.

BACKGROUND: Sepsis in children with cardiovascular involvement can increase mortality. Recently, man...

[Predicting atrial fibrillation through a sinus-rhythm electrocardiogram; useful or not?].

In patients with cryptogenic stroke, the detection of atrial fibrillation (AF) is important, since i...

Platelet-rich emboli are associated with von Willebrand factor levels and have poorer revascularization outcomes.

BACKGROUND AND AIMS: Platelets and von Willebrand factor (vWF) are key factors in thrombosis and thu...

Optimized fast GPU implementation of robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction.

BACKGROUND: Robust Artificial-neural-networks for k-space Interpolation (RAKI) is a recently propose...

Clinical Significance of Circulating Cardiomyocyte-Specific Cell-Free DNA in Patients With Heart Failure: A Proof-of-Concept Study.

We investigated clinical significance of cell-free DNA (cfDNA) in heart failure. This study enrolled...

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