Latest AI and machine learning research in nursing for healthcare professionals.
The objective of this scoping review was to survey the literature on the use of AI/ML applications in analyzing inpatient EHR data to identify bundles of care (groupings of interventions). If evidence suggested AI/ML models could determine bundles, the review aimed to explore whether implementing these interventions as bundles reduced practice pattern variance and positively impacted patient care ...
The integration of artificial intelligence (AI) into health care offers the potential to enhance patient care, improve diagnostic precision, and broad...
As artificial intelligence (AI) continues to evolve rapidly, its integration into nursing education is inevitable. This article presents a narrative e...
Tailored disaster preparedness interventions may be more effective and equitable, yet little is known about specific factors associated with disaster ...
PURPOSE: This study was conducted to investigate the effect of training provided to pediatric nurses on their knowledge and attitude levels about arti...
BACKGROUND: Nowadays, Artificial intelligence (AI) is one of the most popular topics that can be integrated into healthcare activities. Currently, AI ...
Large language models (LLMs) hold immense potential to revolutionize radiology. However, their integration into practice requires careful consideratio...
BACKGROUND: In late 2022, an AI (artificial intelligence) application, ChatGPT (generative pre-trained transformer), was released free for public use....
BACKGROUND: Intraoperative hypotension during cesarean section has become a serious complication for maternal and fetal healthy. It is commonly encoun...
OBJECTIVE: The objective of this study was to predict extubation readiness in preterm infants using machine learning analysis of bedside pulse oximete...
Healthcare organizations have realized that Artificial intelligence (AI) can provide a competitive edge through personalized patient experiences, impr...
An intraoperative diagnosis is critical for precise cancer surgery. However, traditional intraoperative assessments based on hematoxylin and eosin (H&...
Nowadays, numerous countries are facing the challenge of aging population. Additionally, the number of people with reduced mobility due to physical il...
PURPOSE: This study aimed to evaluate the effects of an artificial intelligence (AI) chatbot (ChatGPT-3.5, OpenAI) on preoperative anxiety reduction a...
The increase in life expectancy, and the consequent growth of the elderly population, represents a major challenge to guarantee adequate health and so...
BACKGROUND: In recent years, Korean society has increasingly recognized the importance of nurses in the context of population aging and infectious dis...
BACKGROUND: Technological advances have expanded nursing education to include generative artificial intelligence (AI) tools such as ChatGPT.
A difficult airway is a situation in which an anesthesiologist with more than 5Â years of experience encounters difficulty with intubation or mask vent...