Latest AI and machine learning research in nursing for healthcare professionals.
From basic research to the bedside, precise terminology is key to advancing medicine and ensuring op...
PURPOSE: The purpose of this study was to identify the main keywords, network properties, and main t...
Clinical decision support (CDS) has shown a positive effect on physicians. There is variability amon...
Continuous renal replacement therapy (CRRT) is the main extracorporeal kidney support therapy used i...
Objective This scoping review maps the approach undertaken by nurses to influence the implementation...
BACKGROUND: Electroencephalogram (EEG) monitoring is recommended as routine in newborn neurocritical...
The whole healthcare system is evolving fast due to environmental pressure related to pandemics, cli...
As the coronavirus disease 2019 (COVID-19) global pandemic continues, there is increased value in p...
Earlier studies show frail seniors often experience loneliness and depression. Moreover, frailty can...
Robotic assistance systems offer new therapeutic perspectives for patient mobilization. This work ai...
We evaluate the performance of multiple text classification methods used to automate the screening o...
This study established a predictive model for the early detection of micro-progression of pressure i...
BACKGROUND/AIM: To analyze the effects of laparoscopic partial nephrectomy (LPN) and robot-assisted ...
In health sciences, high-quality text embeddings may augment qualitative data analysis of large amou...
Degenerative lumbar disease is a common condition in which progressive deterioration of the structur...
An auxiliary dining robot is designed in this paper, which implements the humanoid feeding function ...
PURPOSE OF REVIEW: We present here neuro-otological tests using portable video-oculography (VOG) and...
BACKGROUND: The expansion of robotic surgery requires identifying factors of competent robotic bedsi...