Latest AI and machine learning research in product alert for healthcare professionals.
Using longitudinal data in electronic health records (EHRs) for post-marketing adverse drug event (A...
To incorporate ontological concepts in natural language processing (NLP) it is often necessary to co...
Powered robotic exoskeletons are an emerging technology of wearable orthoses that can be used as an ...
The ANN method has been applied by means of multilayered feedforward neural networks (MLFNs) by usin...
Pharmacovigilance (PV) is defined by the World Health Organization as the science and activities rel...
In South Asians, a unique obesity phenotype of high abdominal fat is associated with increased cardi...
BACKGROUND: Acne scarring remains a difficult problem for patients and physicians. Often it is treat...
Extracting biomedical event from literatures has attracted much attention recently. By now, most of ...
Several neurobiological factors have been found to correlate with functional recovery after brain le...
OBJECTIVE: To study the relation between uroflow Stop Test and early recovery of potency following r...
The advances achieved in Natural Language Processing make it possible to automatically mine informat...
BACKGROUND: Deep brain stimulation (DBS) of the subthalamic region is an established therapy for adv...
BACKGROUND: Pathway analysis has been widely used to gain insight into essential mechanisms of the r...
A major characteristic of hemiplegic gait observed in individuals post-stroke is spatial and tempora...
Although potential drug-drug interactions (PDDIs) are a significant source of preventable drug-relat...
OBJECTIVES/HYPOTHESIS: To quantitatively measure volumetric changes in upper airway soft tissue stru...
Automatic seizure detection technology is of great significance for long-term electroencephalogram (...
BACKGROUND: The compact Motorized orthosis for home rehabilitation of Gait (MoreGait) was developed ...