AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Anticoagulants

Showing 31 to 40 of 75 articles

Clear Filters

[Determination of sulfation degree of heparin and low molecular weight heparins by capillary electrophoresis].

Se pu = Chinese journal of chromatography
Heparin is composed of a highly sulfated linear saccharide and is widely used as an anticoagulant. Low molecular weight heparins (LMWHs) are derived from the unfractionated heparin (UFH) by enzymatic or chemical degradation. LMWHs have largely replac...

Predictors of bleeding event among elderly patients with mechanical valve replacement using random forest model: A retrospective study.

Medicine
Available classification tools and risk factors predicting bleeding events in elderly patients after mechanical valve replacement may not be suitable in Asian populations. Thus, we aimed to identify an accurate model for predicting bleeding in elderl...

Development of a system to support warfarin dose decisions using deep neural networks.

Scientific reports
The first aim of this study was to develop a prothrombin time international normalized ratio (PT INR) prediction model. The second aim was to develop a warfarin maintenance dose decision support system as a precise warfarin dosing platform. Data of 1...

A comparative study of anticoagulant/antiplatelet therapy among men undergoing robot-assisted radical prostatectomy: a prospective single institution study.

Journal of robotic surgery
The present study aimed to assess the safety and efficacy of robot-assisted radical prostatectomy (RARP) in patients with prostate cancer (PCa) under anticoagulant (AC) and/or antiplatelet (AP) therapy, as compared to a control group, and to establis...

Determining the adjusted initial treatment dose of warfarin anticoagulant medicine using kernel-based support vector regression.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: A novel research field in bioinformatics is pharmacogenomics and the corresponding applications of artificial intelligence tools. Pharmacogenomics is the study of the relationship between genotype and responses to medical me...

Stable warfarin dose prediction in sub-Saharan African patients: A machine-learning approach and external validation of a clinical dose-initiation algorithm.

CPT: pharmacometrics & systems pharmacology
Warfarin remains the most widely prescribed oral anticoagulant in sub-Saharan Africa. However, because of its narrow therapeutic index, dosing can be challenging. We have therefore (a) evaluated and compared the performance of 21 machine-learning tec...

Screening Anti-inflammatory, Anticoagulant, and Respiratory Agents for SARS-CoV-2 3CL Inhibition from Chemical Fingerprints Through a Deep Learning Approach.

Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion
BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiologic agent of coronavirus disease 2019 (COVID-19), triggers a pathophysiological process linked not only to viral mechanisms of infectivity, but also to the pattern of...

Predictive Factors of Early Postoperative Complications After Robot-Assisted Radical Cystectomy for Urothelial Bladder Carcinoma.

Journal of endourology
To identify protective and risk factors of early postoperative complications after robot-assisted radical cystectomy (RARC) for urothelial bladder carcinoma. Data of all robot-assisted cystectomies performed in six French centers between February 2...

A systemic review and meta-analysis of the effects of perioperative anticoagulant and antiplatelet therapy on bleeding complications in robot-assisted prostatectomy.

European review for medical and pharmacological sciences
OBJECTIVE: Robot-assisted prostatectomy is commonly performed for the management of prostate cancer. The literature has noted that prostate cancer patients are often prone to increased risk for thromboembolic complications. Normally, such situations ...

Effect of an artificial intelligence-assisted tool on non-valvular atrial fibrillation anticoagulation management in primary care: protocol for a cluster randomized controlled trial.

Trials
BACKGROUND: Atrial fibrillation (AF) is one of the most common cardiac arrhythmia diseases. Thromboembolic prophylaxis plays an essential role in AF therapy, but at present, general practitioners (GPs) are presumed to lack the knowledge and enthusias...