Nursing

Real-Time Super-Resolution Ultrasound Imaging for Monitoring Tumor Response During Intensive Care Management of Oncologic Emergencies.

BACKGROUND: Oncologic emergencies in critically ill cancer patients frequently require rapid, real-time assessment of tumor responses to therapeutic interventions. However, conventional imaging modalities such as computed tomography and magnetic resonance imaging are often impractical in intensive care units (ICUs) due to logistical constraints and patient instability. Super-resolution ultrasound ...

Pharmacological Haemodynamic Management in the Intensive Care Unit: The Evolution of the Nurse's Role Over 50 Years.

AIM: To examine the evolution of intensive care nurses' roles in pharmacological haemodynamic management from 1975 to 2025 and to explore projected responsibilities through 2075. DESIGN: A scholarly commentary. METHODS: A critical synthesis of literature, historical accounts and clinical guidelines spanning 1975-2025, focussing on nursing practice, technology, workforce dynamics and patient safety...

Artificial Intelligence for Knee Osteoarthritis Care and Rehabilitation: A Systematic Review.

OBJECTIVES: To explore how artificial intelligence (AI) can improve the clinical and rehabilitation management of knee osteoarthritis (KOA), emphasizi...

Classifying Care Needs and Determining Nursing Diagnoses of Older Patients With Cardiometabolic Multimorbidity.

AIM: This study aimed to gain insight into the thoughts, perceptions and needs of nurses caring for older adults with cardiometabolic multimorbidity r...

Addressing the Artificial Intelligence Gap in Nursing Digital Health Readiness.

The 2024 Declaration of Helsinki Revision: Relevance to Nursing Research.

BACKGROUND: The 2024 revision of the Declaration of Helsinki (DoH) marks a pivotal shift in biomedical research ethics, with significant implications ...

Nurses' Insights on the Braden Scale and Their Vision for Artificial Intelligence Innovations: A Mixed Methods Study.

AIMS: This study aimed to explore nurses' experiences with the Braden Scale, assess their readiness for artificial intelligence (AI) technologies, and...

Artificial Intelligence-Enabled Point-of-Care Echocardiography: Bringing Precision Imaging to the Bedside.

PURPOSE OF REVIEW: The integration of artificial intelligence (AI) with point-of-care ultrasound (POCUS) is transforming cardiovascular diagnostics by...

Unveiling Quality of Life Factors for the Elderly: A Public Health Nursing Approach Enhanced by Advanced ML and DL Techniques.

Community health nurses can enhance the elderly's quality of life (QoL) through personalized care, lifestyle counselling, and preventive measures. The...

A Model Predicting Artificial Intelligence Use by Gastroenterology Nurses in Clinical Practice: A Cross-Sectional Multicenter Survey.

BACKGROUND AND AIMS: Nurses' participation during colonoscopy has been demonstrated to significantly improve the detection rate of polyps and adenomas...

Preserving Professional Human Caring in Nursing in the Era of Artificial Intelligence.

This article examines Professional Human Caring in Nursing within the evolving landscape of artificial intelligence (AI). As AI becomes increasingly i...

Artificial intelligence in surgery research: Successfully implementing AI clinical decision support models.

Artificial intelligence (AI) in surgery literature typically encompasses decision support models that aim to help clinicians make better decisions. Ma...

Reconstruction of Heart-related Imaging from Lung Electrical Impedance Tomography Using Semi-Siamese U-Net.

INTRODUCTION: Electrical Impedance Tomography (EIT) is widely used for bedside ventilation monitoring but is limited in reconstructing cardiac-related...

The Future of Questions.

As we move into the artificial intelligence decade, with more emphasis on creativity and innovation, it will be important to ask questions in a differ...

Validity and reliability of the Chinese translation of the attitude scale towards the use of artificial intelligence technologies in nursing (ASUAITIN)- a cross-sectional study.

AIM: This study aimed to test the psychometric properties of the Attitudes Toward Artificial Intelligence in Nursing Scale (ASUAITIN) in Chinese cultu...

The impact of an AI-focused ethics education program on nursing students' ethical awareness, moral sensitivity, attitudes, and generative AI adoption intention: a quasi-experimental study.

BACKGROUND: The integration of Generative artificial intelligence (GAI) into healthcare is rapidly evolving, necessitating ethical preparedness among ...

Insights into the relationship between anxiety and attitudes toward artificial intelligence among nursing students.

BACKGROUND: Artificial Intelligence (AI) integration in healthcare education represents a critical technological advancement that requires careful exa...

The mediation of trust on artificial intelligence anxiety and continuous adoption of artificial intelligence technology among primacy nurses: a cross-sectional study.

BACKGROUND: AI learning anxiety and job substitution anxiety hinder the use of AI in healthcare. Primary nurses lack training resources, a strong sens...

Shift nurses' work quality and job satisfaction after implementing the Inha University hospital nursing AI scheduling system (IH-NASS).

BACKGROUND: Shift work is essential for nurses and is the backbone of the healthcare workforce. Addressing the challenges associated with time-consumi...

The Effect of Secondary Traumatic Stress and Cognitive Flexibility on Psychological Well-Being in Health Education Students.

AIM: The aim of this study is to examine the effects of secondary traumatic stress and cognitive flexibility on the psychological well-being of nursin...