Latest AI and machine learning research in venous thrombosis for healthcare professionals.
The current COVID-19 pandemic caused by a novel coronavirus SARS-CoV-2 urgently calls for a working ...
INTRODUCTION: The Coronavirus Disease 2019 (COVID-19) is associated with severe hypercoagulability. ...
The objective of the study was to evaluate the risk of bleeding complications in patients undergoing...
 The role of anticoagulation (AC) in the management of otogenic cerebral venous sinus thrombosis (O...
BACKGROUND: Low-molecular-weight heparins (LMWHs) are easily dialysable with high-flow membranes; ho...
BACKGROUND: Pregnant women with mechanical heart valves are at significant risk of obstetric/cardiac...
Peritoneal membrane damage during chronic peritoneal dialysis is the main cause of that treatment fa...
BACKGROUND: Atrial Fibrillation is the most common arrhythmia worldwide with a global age adjusted p...
There is growing interest in the potential of artificial intelligence to support decision-making in ...
Despite some previous examples of successful application to the field of pharmacogenomics, the utili...
The aging of the western population and the increased use of oral anticoagulation (OAC) and antipla...
IMPORTANCE: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, and its early ...
The sperm storage tubules located in the mucosal folds of the uterovaginal junction (UVJ) are the pr...
Percutaneous left ventricular assist devices (pVADs) require a continuous purge solution containing...
In patients with cryptogenic stroke, the detection of atrial fibrillation (AF) is important, since i...
A sensitive and simple liquid chromatography-tandem mass spectrometry method was developed and valid...
OBJECTIVE: Photoselective vaporization of the prostate (PVP) is a widely performed surgical procedur...
OBJECTIVE: Deep vein thrombosis (DVT) is a disease caused by abnormal blood clots in deep veins. Acc...
Apixaban, an inhibitor of direct factor Xa, is used for the treatment of venous thromboembolic event...
Artificial neural networks are machine-learning algorithms designed to analyse data without a pre-ex...
The prediction of daily stable warfarin dosage for a specific patient is difficult. To improve the p...