Latest AI and machine learning research in nursing for healthcare professionals.
Hospital readmissions represent a persistent challenge for healthcare systems, often stemming from i...
Clinicians currently lack reliable tools to determine, at the point of mild cognitive impairment (MC...
Large language models (LLMs) demonstrate strong performance on medical reasoning tasks, but current ...
Point-of-care ultrasonography (POCUS) enables clinicians to obtain critical diagnostic information a...
Manual inpatient screening for substance misuse is labor-intensive and inconsistently applied. Evalu...
Accurate early prediction of neurological outcomes in comatose patients after cardiac arrest is crit...
Lower respiratory tract infection (LRTI) is a leading cause of morbidity and mortality among childre...
Ongoing education in HIV care is limited for many healthcare providers working in rural and non-acad...
Accurate prediction of neurological outcome after cardiac arrest is essential for guiding intensive ...
Acute appendicitis is a common but diagnostically challenging surgical emergency in children. Existi...
This study aimed to systematically review and critically evaluate the risk of bias and applicability...
Machine learning models hold promise in cancer medicine but often lack robustness and interpretabili...
BACKGROUND: Artificial intelligence (AI) is significantly transforming the nursing profession, enhan...
AIM: This study aims to use bibliometric methods to analyze highly cited nursing education articles ...
Monitoring the remaining food in patients' trays is a routine activity in healthcare facilities as i...
Paradox is living phenomenon that provides insights into straight thinking and diverse human experie...
The rapid integration of artificial intelligence into healthcare has introduced transformative possi...
This review discusses the introduction of healthcare robots, such as those that provide transfer, to...
This paper explores the application of large language models (LLMs) in nursing and elderly care, f...
Clinical trials are an indispensable part of the drug development process, bridging the gap betwee...
Although Large Language Models (LLMs) have shown promising performance in healthcare-related appli...