Latest AI and machine learning research in venous thrombosis for healthcare professionals.
OBJECTIVES: To compare the safety and efficacy of oral apixaban with that of injectable enoxaparin a...
Rapid fibrinogen (Fbg) evaluation is important in patients with massive bleeding during severe traum...
Network approaches have successfully been used to help reveal complex mechanisms of diseases includi...
In patients with acute pulmonary embolism (PE), timely intervention (e.g., initiation of anticoagul...
Lipoma is a benign mesenchymal tumour that can develop in any part of the body containing adipose ti...
Existing warfarin dose prediction algorithms based on pharmacogenetics and clinical parameters have ...
Red blood cell (RBC) transfusion is a life-saving medical intervention and has an essential role in ...
Anticoagulant drugs are commonly prescribed to prevent hypercoagulable states in patients with venou...
BACKGROUND: Atrial fibrillation (AF) is one of the most common cardiac arrhythmia diseases. Thromboe...
INTRODUCTION: Apolipoprotein C-III (Apo CIII) is a crucial regulator of triglyceride-rich lipoprotei...
Coronavirus disease 2019 is a global health threat often accompanied with coagulopathy. Despite use...
BACKGROUND AND OBJECTIVE: A novel research field in bioinformatics is pharmacogenomics and the corre...
Warfarin remains the most widely prescribed oral anticoagulant in sub-Saharan Africa. However, becau...
PURPOSE: To evaluate unfractionated heparin (UFH) dosing guided by antifactor Xa levels during targe...
This narrative review aims to provide an overview of the main Machine Learning (ML) techniques and t...
Recently, an emerging trend in medical image classification is to combine radiomics framework with d...
The first aim of this study was to develop a prothrombin time international normalized ratio (PT INR...
Venous thromboembolism is the third common cardiovascular disease and is composed of two entities, d...
Accumulating studies appear to suggest that the risk factors for venous thromboembolism (VTE) among ...
OBJECTIVES: Rapid communication of CT exams positive for pulmonary embolism (PE) is crucial for time...
AIM: To identify and critically appraise studies of prediction models, developed using machine learn...