Latest AI and machine learning research in nursing for healthcare professionals.
BACKGROUND: Many inpatients become anxious or frightened about scheduled treatment processes, and me...
This paper provides a discourse based upon the key development of nursing in response to the emergin...
Technological development has enabled Artificial Intelligence (AI) to better support health care del...
The aim of this article was to describe a novel methodology for transforming complex nursing care pl...
PURPOSE OF REVIEW: Patients, surrogate decision makers, and clinicians face weighty and urgent decis...
OBJECTIVES: Validation of deep learning models should separately consider bedside chest radiographs ...
The term robotics traditionally refers to the utilization of machines to perform a mechanized task o...
Computerized technologies and expanding digital information are evolving in a highly complex system ...
In this teaching-learning column, the use of robotic technology is explored as a possible adjunctive...
We demonstrate that Mobile Remote Presence systems (MRP) aka telepresence robots can be successfully...
A scoping review was prepared in the first study phase of the REsPonSe project. The objective was to...
Data science skills are increasingly needed by informatics nurses and nurse scientists, but techniqu...
Patients with craniocerebral injury are in serious condition and inconvenient to take care of. This ...
Nurses collect, use, and produce data every day in countless ways, such as when assessing and treati...
OBJECTIVE: Pressure injuries are common and serious complications for hospitalized patients. The pre...
Transitions from one level of care to another are complex processes that pose medical and organizati...
OBJECTIVE: To report the clinical validation of an innovative, artificial intelligence (AI)-powered,...
The role of bedside assistants in robot-assisted minimally invasive esophagectomy is important. It i...