Latest AI and machine learning research in nursing for healthcare professionals.
The present study referred to the technology-based learning model to conduct a systematic review of the dimensions of nursing activities, research samples, research methods, roles of artificial intelligence, applied artificial intelligence algorithms, evaluation measure of algorithms, and research foci. Based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses procedure, this...
Potential benefits of decision aids and technology, such as artificial intelligence, used at the bedside are many and significant. Like any tools, they must be used appropriately for specific tasks, since even validated decision aids have limited utility when they are misapplied, overly relied upon, or used as a substitute for thinking carefully about clinically and ethically relevant questions. P...
This study describes the development (design, construction, instrumentation, and control) of a nursing mobile robotic device to monitor vital signals ...
In the operating theatre, the scrub nurse has a wide range of roles, including responsibility for organising and ensuring that the correct instrumenta...
The field of pediatric critical care has been hampered in the era of precision medicine by our inability to accurately define and subclassify disease ...
To evaluate and establish a prediction model of the outcome of induced labor based on machine learning algorithm. This was a cross-sectional design. T...
BACKGROUND: Abdominal aortic aneurysms (AAA) are often identified incidentally on imaging studies. Patients and/or providers are frequently unaware of...
The high complexity of care in the Intensive Care Unit environment has led, in the last decades, to a big effort in term of the improvement of patient...
BACKGROUND: Acute neurological complications are some of the leading causes of death and disability in the U.S. The medical professionals that treat p...
AIM: The article aims to outline a contrast between three priorities for nursing management proposed a decade ago and key features of the following 10...
The number of older people needing healthcare is a growing global phenomenon. The assistance in long-term care comprises a complex of medical, nursing...
Paro, a baby seal robot, is arguably the best-known care robot worldwide. Its clinical effects on people with special needs have been studied for more...
AIMS: Whether the multi-dimensional data of serially measured blood pressure contains information for predicting the future risk of death in elderly i...
Investigations in pharmacology and toxicology range from molecular studies to clinical care. Studies in basic and clinical pharmacology and in preclin...
It is of great significance to explore the characteristic factors of postoperative nursing safety events in patients with otolaryngology surgery and t...
Delirium screening in acute care settings is a resource intensive process with frequent deviations from screening protocols. A predictive model relyin...
INTRODUCTION: Triage requires rapid determination of acuity and resources. Current modalities allow for individual judgment, with varied application o...
Microrobots have attracted the attention of scientists owing to their unique features to accomplish tasks in hard-to-reach sites in the human body. Mi...
The management of nursing scheduling in healthcare facilities have faced new challenges during the COVID-19 pandemic. With the rapid development of bi...
This perceptual study focuses on developing artificial intelligence for elderly care design. It analyses and discusses the role of artificial intellig...