Latest AI and machine learning research in nursing for healthcare professionals.
The integration of artificial intelligence in nursing practice presents significant ethical challenges that require a comprehensive assessment framework. This study aimed to develop and validate a scale to measure nurses' ethical awareness regarding the use of artificial intelligence in clinical settings. A two-phase methodological approach was employed, involving literature review and interviews ...
AIM: This study aims to assess the perspectives of physicians, nurses, and patients in Turkey regarding the integration of artificial intelligence (AI) and robotic nurses in healthcare settings while exploring their attitudes toward the use of robots in healthcare delivery.
There are challenges involving human resource management, as the selection and evaluation processes for nursing diagnostic labels are time-consuming, ...
The neonatal intensive care unit (NICU) is a data-rich environment that is an ideal setting for the implementation of machine learning (ML) and artifi...
AIM: The aims of this study was to evaluate the acceptance and readiness of critical care nurses to use artificial intelligence (AI).
AIM: With the rapid advancement of generative artificial intelligence technologies, natural language processing tools represented by ChatGPT have been...
AIM: This research examines the effects of artificial intelligence (AI)-based decision support systems (DSS) on the operational processes of nurses in...
Effective communication training is essential to preparing nurses for high-quality patient care. While standardized patient (SP) simulations provide...
Sepsis is a life-threatening organ dysfunction due to a dysfunctional response to infection. Delays in diagnosis have substantial impact on survival. ...
Recent years have seen rapid development of artificial intelligence (AI) technology revolutionizing the healthcare industry by a tremendous measure, e...
Demand for nursing care will intensify in the coming decades based on demographics, chronic diseases, multimorbidity and other health-related issues. ...
The aim of this study is to convert nursing statements into the OMOP CDM for use in observational studies. We mapped nursing statements to SNOMED CT c...
This study investigates large language models for delirium detection from nursing reports, comparing keyword matching, prompting, and finetuning. Usin...
The KIADEKU project combines datascience and the clinical expertise of wound experts to develop and evaluate an AI-application for incontinence-associ...
In the fast-paced emergency departments, where crises unfold unpredictably, the systematic prioritization of critical patients based on a severity cla...
INTRODUCTION: Artificial Intelligence (AI) chatbots could potentially provide information on sensitive topics, including sexual health, to the public....
Artificial intelligence (AI) has the potential to enhance health care by optimizing patient management and supporting workforce demands. AI-driven cha...
Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, ventilators and other critical equipment, and pharm...