Latest AI and machine learning research in nursing for healthcare professionals.
We read with great interest the recently published article by Amiri et al., titled "Medical, Dental, and Nursing Students' Attitudes and Knowledge Toward Artificial Intelligence: A Systematic Review and Meta-Analysis." We would like to offer comments on certain aspects of the findings that we believe warrant further discussion.
BACKGROUND: Since the release of ChatGPT in November 2022, this emerging technology has garnered a lot of attention in various fields, and nursing is no exception. However, to date, no study has comprehensively summarized the status and opinions of using ChatGPT across different nursing fields.
This phenomenological study explored the perspectives of geriatric nurses on the adoption of artificial intelligence (AI) in elderly care. Thematic an...
The need for innovative technology in healthcare is apparent due to challenges posed by the lack of resources. This study investigates the adoption o...
BACKGROUND: The release of the open-source platform ChatGPT in November 2022 created massive interest in the possibilities of artificial intelligence-...
This paper focuses on the implications of Artificial Intelligence (AI) for the nursing workforce, examining both the opportunities presented by AI in ...
OBJECTIVE: To evaluate machine learning (ML) models' performance in predicting acute pancreatitis (AP) severity using early-stage variables while excl...
AIM: This study was conducted to examine the effect of nursing students' use of artificial intelligence (AI) tools while preparing patient education m...
Generative artificial intelligence (GenAI) is transforming education, and faculty can either incorporate GenAI in intentional course design to promote...
AIM: This study aims to assess the e-health literacy and foresights to global health challenges of nursing students during the COVID19 restrictions.
The aim of this study is to explore the connection between individual innovativeness levels and attitudes toward artificial intelligence among nursing...
Although transarterial chemoembolization has improved as an interventional method for hepatocellular carcinoma, subsequent postembolization syndrome i...
OBJECTIVE: To compare the ability of a deep-learning platform (the MACSSwin-T model) with health care professionals in detecting cerebral aneurysms fr...
INTRODUCTION: Investigating water consumption behaviors and perceptions of water sustainability among nursing students is crucial for effective resour...
OBJECTIVEC: This is a cross-sectional and descriptive study to determine the levels of artificial intelligence anxiety and readiness of neonatal nurse...
OBJECTIVES: Chat Generative Pre-Trained Transformer (ChatGPT) is an artificial intelligence-powered language model that can generate a unique outputs,...
To describe the use of artificial intelligence (AI) by nurse managers to enhance management, leadership, and healthcare outcomes. AI represents a si...
One potential solution to limited health care in rural and remote regions is remote presence robotic tele-presentation to allow health care providers...
AIM: This study examines how social influence, human-machine trust and perceived job stress affect nurses' behavioural intentions towards AI-assisted ...
OBJECTIVES: Identifying skilled nursing facility (SNF) patients at risk for hospitalization or death is of interest to SNFs, patients, and patients' f...