Nursing

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

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Nursing leadership and artificial intelligence ethics: Safeguarding relationships and values.

The integration of artificial intelligence (AI) into healthcare marks a paradigmatic shift, raising ...

Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study.

BACKGROUND: Artificial intelligence (AI) has demonstrated transformative potential in the health car...

Integration of artificial intelligence in nursing education: a cross-national exploration.

BACKGROUND: Understanding nurse educators' perceptions of Artificial Intelligence (AI) in education,...

Resilience as a mediator in the relationship between ambidextrous leadership and nurses' positive attitudes towards artificial intelligence.

BACKGROUND: Leadership plays a pivotal role in adopting new trends within the nursing domain. Yet, t...

Phage and enzyme therapies in wound infections: From lab to bedside.

Antibiotic-resistant (AR) bacterial wound infections (WIs) impose major burdens on healthcare system...

Neurogenetic biomarkers in epilepsy: A comprehensive narrative review of progression and therapeutic approaches.

Epilepsy is a multifaceted and heterogenous neurological disorder that affects an estimated 70 milli...

Performance of Artificial Intelligence in Skin Cancer Detection: An Umbrella Review of Systematic Reviews and Meta-Analyses.

Skin cancer has one of the highest incidence rates among malignancies. A shortage of clinical expert...

Nurses perceptions and use of artificial intelligence in healthcare.

The integration of artificial intelligence (AI) in nursing care is an important professional issue. ...

"Screening" for End of Life Using Artificial Intelligence: A Qualitative Study of Palliative Care Team Members' Perspectives on Ethical Use.

Artificial intelligence (AI) tools for health care applications are rapidly emerging. Some AI-based...

Integrating artificial intelligence into nurse practitioner education: Strategies for teaching the next generation of nurse practitioners.

The rapid integration of artificial intelligence (AI) into health care necessitates a parallel evolu...

Non-Invasive Bedside Approaches for Assessing Microvascular Dysfunction.

Microvascular dysfunction is implicated in a range of acute and chronic conditions, ranging from car...

From Challenges to Innovations: Expert Insights in Pediatric Healthcare Design.

Pediatric healthcare design increasingly addresses clinical and psychosocial needs, highlighting th...

Recognizing Nurse Care Activity: An Artificial Intelligence Approach With Bidirectional Interactive Cross-Attention.

Nursing care activities are essential to healthcare delivery, directly impacting patient safety, rec...

Artificial intelligence in advanced practice nursing education: Opportunities and challenges.

Artificial intelligence (AI) is transforming health care delivery and education, offering both oppor...

The future of artificial intelligence in gerontological nursing in Saudi Arabia.

BACKGROUND: As a part of Vision 2030, Saudi Arabia initiated a health transformation program to enha...

From Cases to Confidence: Developing Diagnostic Reasoning Skills Through Collaborative Learning in Graduate Nursing Education.

Teaching diagnostic reasoning to graduate nursing students is both essential and challenging, partic...

Just-in-Time DNP Book Club: An Inclusive Immersion Experience.

A just-in-time faculty-led virtual book club for a Doctor of Nursing Practice program was initiated ...

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