Latest AI and machine learning research in nursing for healthcare professionals.
The aim of this study was to present the functionality and design of nursing care robots as depicted in pictures posted on social media. A netnographic study was conducted using social media postings over a period of 3Â years. One hundred and Seventy-two images were analyzed using netnographic methodology. The findings show that nursing care robots exist in various designs and functionalities, all ...
BACKGROUND: Electronic health records are being increasingly used by nurses with up to 80% of the health data recorded as free text. However, only a few studies have developed nursing-relevant tools that help busy clinicians to identify information they need at the point of care.
BACKGROUND: Translational research is a key area of focus of the National Institutes of Health (NIH), as demonstrated by the substantial investment in...
BACKGROUND: Early diagnosis of schizophrenia could improve the outcomes and limit the negative effects of untreated illness. Although participants wit...
It is highly likely that artificial intelligence (AI) will be implemented in nursing robotics in various forms, both in medical and surgical robotic i...
The sheer volume of textual information that needs to be reviewed and analyzed in many clinical settings requires the automated retrieval of key clini...
Inductive machine learning, and in particular extraction of association rules from data, has been successfully used in multiple application domains, s...
BACKGROUND: Healthcare systems in industrialized countries face the challenge of providing care for a growing number of elderly people. Information te...
Getting out of bed and ambulating without supervision is identified as one of the major causes of patient falls in hospitals and nursing homes. Theref...
OBJECTIVE: To explore the views and experiences of healthcare professionals (HCPs) regarding the preparation of morphine infusions for nurse/patient-c...
BACKGROUND: A variety of group activities is promoted for nursing home (NH) residents with dementia with the aim to reduce apathy and to increase enga...
The robotic surgical platform is being utilized by a growing number of hospitals across the country, including academic medical centers. Training prog...
Given the fact that clinical bedside examinations can have a high rate of misdiagnosis, machine learning techniques based on neuroimaging and electrop...
BACKGROUND: Interoperable phenotyping algorithms, needed to identify patient cohorts meeting eligibility criteria for observational studies or clinica...
The community-based participatory research (CBPR) approach has been shown to be innovative and effective in conducting research with communities exper...
Increased extravascular lung water (EVLW) may contribute to respiratory failure in neonates. Accurate measurement of EVLW in these patients is limited...
BACKGROUND: Previous studies have suggested that visiting dogs can have positive effects on elderly people in nursing homes. We wanted to study the ef...
Creating android and humanoid robots to furnish companionship in the nursing care of older people continues to attract substantial development capital...
Minimally invasive liver surgery (MILS) is going to be a method with a wide diffusion even in general surgery units. Organization, learning curve effe...