Latest AI and machine learning research in nursing for healthcare professionals.
BACKGROUND AND PURPOSE: One method of determining nurse staffing is to match patient demand for nursing care (patient acuity) with available nursing staff. This pilot study explored the feasibility of automating acuity measurement using a machine learning algorithm.
Deep learning has achieved remarkable results in the areas of computer vision, speech recognition, natural language processing and most recently, even playing Go. The application of deep-learning to problems in healthcare, however, has gained attention only in recent years, and it's ultimate place at the bedside remains a topic of skeptical discussion. While there is a growing academic interest in...
Residual bladder volume measurement is a very important marker for patients with urinary retention problems. To be able to monitor patients with these...
In the extremely aged society, rehabilitation staff will be required to provide ample rehabilitation training for more stroke patients and more aged p...
If you read the news either as hard copy or online I am sure that you notice reports about the presence and use of robots more frequently; and often t...
The UK has a rapidly ageing population, and the number of people aged over 75 is projected to double in the next 30 years. In November 2014, King's Co...
The purpose of this article is to publicize an important new Web-based educational program. Recognizing the growing gap in psychiatric-mental health k...
It is important for health services to be able to identify potential outliers with minimal effort as part of their daily evaluation of care data from ...
Medicomp Point of Care Clinical Knowledgebase, MEDCIN is designed to support integrated care documentation and the care planning functions of nurses a...
In Japan, the population is expected to decrease. Moreover, the proportion of elderly people living alone among the elderly population is expected to ...
PURPOSE: Implementation of a robotic system may influence surgical training. The aim was to report the charge of the operating surgeon and the bedside...
The widespread robotic surgery in the world highlighted the relevance of the training programs for young urologists and residents. In the last years, ...
Robot-assisted surgery continues to grow in popularity worldwide. Competency and training of personnel for robot-assisted thoracic surgery (RATS) is l...
Although emergency department visit forecasting can be of use for nurse staff planning, previous research has focused on models that lacked sufficient...
In this paper, a new co-operative re-scheduling method corresponding the medical support tasks that the time of occurrence can not be predicted is des...
This study applied artificial intelligence to help nurses address problems and receive instructions through information technology. Nurses make diagno...
We have identified three foci of the nursing observation and nursing action respectively. Using these frameworks, we have developed the structured kno...