Latest AI and machine learning research in nursing for healthcare professionals.
While robotic procedures are growing rapidly, medical students have a limited role in robotic surger...
Background Supine chest radiography for bedridden patients in intensive care units (ICUs) is one of ...
User-oriented needs assessment of the potential use of assistive robots in direct nursing care: A mi...
To confirm whether machine learning algorithms (MLA) can achieve an effective risk stratification of...
The present study referred to the technology-based learning model to conduct a systematic review of ...
Potential benefits of decision aids and technology, such as artificial intelligence, used at the bed...
This study describes the development (design, construction, instrumentation, and control) of a nursi...
In the operating theatre, the scrub nurse has a wide range of roles, including responsibility for or...
The field of pediatric critical care has been hampered in the era of precision medicine by our inabi...
To evaluate and establish a prediction model of the outcome of induced labor based on machine learni...
BACKGROUND: Abdominal aortic aneurysms (AAA) are often identified incidentally on imaging studies. P...
The high complexity of care in the Intensive Care Unit environment has led, in the last decades, to ...
BACKGROUND: Acute neurological complications are some of the leading causes of death and disability ...
AIM: The article aims to outline a contrast between three priorities for nursing management proposed...
The number of older people needing healthcare is a growing global phenomenon. The assistance in long...
Paro, a baby seal robot, is arguably the best-known care robot worldwide. Its clinical effects on pe...
AIMS: Whether the multi-dimensional data of serially measured blood pressure contains information fo...
Investigations in pharmacology and toxicology range from molecular studies to clinical care. Studies...