Nursing

Long-Term Caregivers' Perceptions and Expectations Toward the Use of Nursing Robots: A Meta-Synthesis of Qualitative Research.

This study aims to synthesize the perceptions and expectations of long-term caregivers regarding the...

Leading With Heart: The Enduring Foundation of Nursing Leadership in an Era of Transformation.

As healthcare accelerates into an era defined by artificial intelligence, precision medicine, and ad...

Artificial intelligence-driven predictive analytics for postoperative management and recovery in trauma patients.

PURPOSE OF REVIEW: Post-traumatic care is evolving from a reactive, protocol-driven paradigm to a pr...

Bridging the Gap Between Potential and Practice: An Integrative Review of Generative Artificial Intelligence in Nursing.

BACKGROUND: Generative artificial intelligence (GAI) has emerged as a transformative tool in health ...

Disability risk prediction models in community-dwelling older adults: a systematic review.

BACKGROUND: Early identification of disability risk in community-dwelling older adults has emerged a...

Artificial intelligence, robotics, and person-centered care in nursing and midwifery education: qualitative study to develop an augmented caring pedagogy model.

Artificial intelligence literacy in higher education and implications for nursing education: A scoping review.

BACKGROUND: Despite the growing body of studies focusing on the development of artificial intelligen...

The effect of an artificial intelligence- supported screen-based simulation on breast self-examination in nursing students: A sequential mixed-methods study.

AIM: The aim of this study is to evaluate the effectiveness of artificial intelligence-supported sim...

Gut microbiota-derived metabolites as immune modulators in aging and age-related chronic inflammatory diseases.

Age-associated dysbiosis, marked by shifts in the composition of gut microbiota and gut microbiota-d...

When distress meets technology: The mediating role of AI integration in the link between nurses' moral distress and moral integrity in critical care settings.

BACKGROUND: Moral distress is increasingly recognized as a critical challenge in critical care setti...

Algorithmic bias and transparency in artificial intelligence tools for nursing education: A scoping review.

AIM: To synthesize literature on algorithmic bias and transparency in artificial intelligence tools ...

Significance of Automation in Nursing Workflows.

Nurses have expressed a growing interest in artificial intelligence (AI), but automation tools remai...

Assessing Healthcare Professionals' Attitudes Toward Artificial Intelligence in Turkey: A Cross-Sectional Study.

OBJECTIVES: To assess healthcare professionals' attitudes toward artificial intelligence (AI) in hea...

Exploring Clinician Perspectives on Artificial Intelligence in Primary Care: Qualitative Systematic Review and Meta-Synthesis.

BACKGROUND: Recent advances have highlighted the potential of artificial intelligence (AI) systems t...

Explainable machine learning with bayesian hyper-optimization for predicting cognitive impairment from longitudinal nursing home data.

The monitoring of daily life in nursing home residents generates diverse and heterogeneous sources o...

A Novel Risk Calculator for Nonhome Discharge after Lower Extremity Bypass.

BACKGROUND: Nonhome discharge (NHD) after lower extremity bypass is associated with discharge delays...

Prioritizing nurse-patient relationships in the digital transformation of nursing: A discussion paper.

Healthcare is undergoing rapid digital transformation, with artificial intelligence (AI), automated ...

Artificial intelligence in airway management: a narrative review.

This narrative review examines artificial intelligence (AI) applications in airway management throug...

Perception of AI Symptom Models in Oncology Nursing: Mixed Methods Evaluation Study.

BACKGROUND: Patients undergoing cancer treatment experience a significant symptom burden. The standa...

Pathophysiological mechanisms of fatigue and multidisciplinary management strategies (Review).

Fatigue is a common clinical symptom, and its complex pathophysiological mechanisms markedly affect ...

Development and Validation of a Machine Learning Model That Uses Voice to Predict Aspiration Risk.

BACKGROUND: Aspiration causes or aggravates a variety of respiratory diseases. Subjective bedside ev...