Latest AI and machine learning research in product alert for healthcare professionals.
The healthcare industry, and specifically the pharmacovigilance industry, recognizes the need to sup...
INTRODUCTION: Pharmacovigilance (PV) detects, assesses, and prevents adverse events (AEs) and other ...
INTRODUCTION: Early detection of adverse drug events (ADEs) from electronic health records is an imp...
INTRODUCTION: Adverse drug event (ADE) detection is a vital step towards effective pharmacovigilance...
BACKGROUND AND SIGNIFICANCE: Adverse drug events (ADEs) occur in approximately 2-5% of hospitalized ...
OBJECTIVEFlow diverters (FDs) are designed to occlude intracranial aneurysms (IAs) while preserving ...
OBJECTIVES: This study extends prior research by combining a chronological pharmacovigilance network...
MOTIVATION: Adverse events resulting from drug-drug interactions (DDI) pose a serious health issue. ...
Event detection is a challenging stage in eye movement data analysis. A major drawback of current ev...
To explore the influence of high-voltage electrical burns on the number of platelet aggregation, β-...
This is a retrospective case-control study.The aim of this study was to compare the surgical results...
The goal of pharmacovigilance is to detect, monitor, characterize and prevent adverse drug events (A...
OBJECTIVE: Social media is an important pharmacovigilance data source for adverse drug reaction (ADR...
The goal of this study was to determine how individuals post-stroke response to the lateral assistan...
In times of steadily increasing numbers of administered drugs, the detection of adverse drug events ...
Tc-Macroaggregated Albumin (Tc-MAA) has been used as a perfusion agent. This study described develop...
There is a problem associated with contemporary studies of philosophy of mind, which focuses on the ...
The digital revolution has contributed to very large data sets (ie, big data) relevant for public he...
Spikes in Lamotrigine concentrations levels and associated clinical toxicity may occur unpredictably...
This paper presents an electroencephalography (EEG) based-classification of between pre- and post-me...
The ability of correlation integral for automatic seizure detection using scalp EEG data has been re...