Latest AI and machine learning research in nursing for healthcare professionals.
BACKGROUND: Many inpatients become anxious or frightened about scheduled treatment processes, and medical staff do not have sufficient time to provide emotional support. The recent advancement of information and communications technology (ICT) and the use of artificial intelligence (AI), including robots, in the health care field is being put to the test.
This paper provides a discourse based upon the key development of nursing in response to the emerging 4Ds of health technology re-design. Building inf...
Technological development has enabled Artificial Intelligence (AI) to better support health care delivery and nursing. The need for nurses to be invol...
The aim of this article was to describe a novel methodology for transforming complex nursing care plan data into meaningful variables to assess the im...
PURPOSE OF REVIEW: Patients, surrogate decision makers, and clinicians face weighty and urgent decisions under uncertainty in the ICU, which could be ...
OBJECTIVES: Validation of deep learning models should separately consider bedside chest radiographs (CXRs) as they are the most challenging to interpr...
The term robotics traditionally refers to the utilization of machines to perform a mechanized task or series of tasks automatically. The author in thi...
Computerized technologies and expanding digital information are evolving in a highly complex system where novel innovations and creations of artificia...
In this teaching-learning column, the use of robotic technology is explored as a possible adjunctive assistant to faculty. Given the advances in techn...
We demonstrate that Mobile Remote Presence systems (MRP) aka telepresence robots can be successfully used in certain types of medical consultation suc...
A scoping review was prepared in the first study phase of the REsPonSe project. The objective was to gain an overview of existing literature and avail...
Data science skills are increasingly needed by informatics nurses and nurse scientists, but techniques such as machine learning can be daunting for th...
Patients with craniocerebral injury are in serious condition and inconvenient to take care of. This paper proposes a method of extracting the patient'...
Nurses collect, use, and produce data every day in countless ways, such as when assessing and treating patients, performing administrative functions, ...
OBJECTIVE: Pressure injuries are common and serious complications for hospitalized patients. The pressure injury rate is an important patient safety m...
Transitions from one level of care to another are complex processes that pose medical and organizational risks and depend on care integration between ...
OBJECTIVE: To report the clinical validation of an innovative, artificial intelligence (AI)-powered, portable and non-invasive medical device called W...