Nursing

Latest AI and machine learning research in nursing for healthcare professionals.

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Empirically derived evaluation requirements for responsible deployments of AI in safety-critical settings.

Processes to assure the safe, effective, and responsible deployment of artificial intelligence (AI) ...

Technology Integration to Support Nurses in an "Inpatient Room of the Future": Qualitative Analysis.

BACKGROUND: The design and integration of technology within inpatient hospital rooms has a critical ...

The relationship between first-year nursing students' innovation skills and attitudes toward artificial intelligence: A multicentre study.

AIM: To assess innovation skills and attitudes toward artificial intelligence BACKGROUND: The rapid ...

NOTICE-ED: Nurse or Technician Insights Into Cognitive Evaluations in the Emergency Department.

BACKGROUND: Several strategies have been proposed to increase chronic cognitive impairment (CI) scre...

Evaluating Equity in Usage and Effectiveness of the CONCERN Early Warning System.

BACKGROUND: The CONCERN Early Warning System (CONCERN EWS) is an artificial intelligence based clini...

Integrating Nurse Preferences Into AI-Based Scheduling Systems: Qualitative Study.

BACKGROUND: Nurse scheduling is a complex challenge in health care, impacting both patient care qual...

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3.

Disparity among gender and ethnicity remains an issue across medicine and health science. Only 26%-3...

The Effect of a Generative AI-Based Teaching Strategy on Building Students' Competency.

BACKGROUND: Assessment of the initial medical history data for pregnant women is an essential compon...

Nurse Educators' Perceptions of the Use of Artificial Intelligence: A Qualitative Study.

BACKGROUND: The integration of generative artificial intelligence (GAI) into nursing education raise...

Artificial Intelligence Anxiety in Nursing Students: The Impact of Self-efficacy.

As in many other sectors, artificial intelligence has an impact on health. Artificial intelligence a...

Artificial intelligence 101: Building literacy with the AI-ABCs framework.

The rapid advancements of artificial intelligence (AI) in healthcare have triggered a significant li...

An Artificial Intelligence Olfactory-Based Diagnostic Model for Parkinson's Disease Using Volatile Organic Compounds from Ear Canal Secretions.

Parkinson's Disease (PD), a frequently diagnosed neurodegenerative condition, poses a major global c...

Machine Learning and Artificial Intelligence in Suicide Prevention: A Bibliometric Analysis of Emerging Trends and Implications for Nursing.

Nurses play a crucial role in suicide prevention, yet the integration of artificial intelligence and...

Application of mixed reality in prehospital emergency nursing education: A scoping review.

AIM: This paper provides a scoping review of the literature on prehospital emergency mixed reality (...

Performance evaluation of large language models for the national nursing examination in Japan.

OBJECTIVES: Large language models (LLMs) are increasingly used in healthcare, with the potential for...

Development and validation of a machine learning model for real-time prediction of invasive mechanical ventilation weaning readiness.

PURPOSE: To develop and validate a bedside machine learning (ML) decision support tool for predictio...

Smartphone dependency, digital amnesia, and somatic symptoms among nursing students: the challenge of artificial intelligence.

BACKGROUND: As we advance into the digital era, the latest challenge in smartphone technology is int...

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