Latest AI and machine learning research in nursing for healthcare professionals.
In the media more and more can be read about "care robots" as a possible solution for the current lack of qualified care staff but often without differentiating this term any further. This often leads to the assumption that robots are already able to take over physical care tasks with patients; however, current solutions primarily have assistive functions. The goal of this article is to elaborate ...
OBJECTIVE: To investigate the effect of a social robot intervention on sleep and motor activity in nursing home residents living with dementia and chronic pain.
In view of the ageing society and the high costs of support and care in private households, the question arises as to what role assistive robots can p...
Local trauma care and regional trauma systems are data-rich environments that are amenable to machine learning, artificial intelligence, and big-data ...
The digitalization of the Intensive Care Unit (ICU) led to an increasing amount of clinical data being collected at the bedside. The term "Big Data" c...
When making an appointment, patients are generally unaware of how much clinician time is available to address their concerns. Similarly, the primary c...
OBJECTIVE: Inform coronavirus disease 2019 (COVID-19) infection prevention measures by identifying and assessing risk and possible vectors of infectio...
A machine learning (ML) system is able to construct algorithms to continue improving predictions and generate automated knowledge through data-driven...
BACKGROUND: Paro and other robot animals can improve wellbeing for older adults and people with dementia, through reducing depression, agitation and m...
An emphasis on overly broad notions of generalisability as it pertains to applications of machine learning in health care can overlook situations in w...
This paper considers the problems of modeling and predicting a long-term and "blurry" relapse that occurs after a medical act, such as a surgery. We d...
BACKGROUND: Populations are aging at an alarming rate in many countries around the world. There has been not only a decrease in the number of births a...
Robotic intravenous poles are automated supportive instrument that needs to be triggered by patients to hold medications and needed supplies. Healthca...
Supervised machine learning (ML) is a class of algorithms that "learn" from existing input-output pairs, which is gaining popularity in pattern recogn...
BACKGROUND: Robot-assisted partial nephrectomy (RAPN) has become widely accepted, but its different underlying types of learning curves have not been ...
BACKGROUND AND OBJECTIVE: Peripherally inserted central catheter (PICC) is a novel drug delivery mode which has been widely used in clinical practice....
Intelligent humanoid robots (IHRs) are becoming likely to be integrated into nursing practice. However, a proper integration of IHRs requires a detail...
Laparoscopic partial nephrectomy (LPN) and robot-assisted partial nephrectomy (RAPN) are commonly used techniques for treating small renal masses. Re...
We sought to compare the outcomes of patients who underwent an open robotic ureteroneocystostomy for ureteral obstruction. Retrospective review was...
Intracranial pressure (ICP) is an important parameter to monitor in several neuropathologies. However, because current clinically accepted methods are...