Nursing

The effect of artificial intelligence assisted evidence-based nursing on psychological distress relief and nursing satisfaction of patients with respiratory diseases.

BACKGROUND: Patients with respiratory diseases commonly experience psychological distress. Traditional evidence‑based nursing is limited in personalized and dynamic care. OBJECTIVES: To evaluate whether AI‑assisted evidence‑based nursing reduces psychological distress, anxiety, and depression and improves nursing satisfaction in respiratory patients. METHODS: A total of 82 patients were randomized...

Novel Online Platform for Trauma Care-Integrating Trauma Phenotypes to Optimize the Trauma and Injury Severity Score Model: Retrospective Cohort Study.

BACKGROUND: Severe trauma remains a leading cause of admission to the intensive care unit. The Trauma and Injury Severity Score (TRISS) is an established standard for predicting outcomes and benchmarking the quality of trauma care globally. However, the TRISS model has some limitations when used for benchmarking trauma care. OBJECTIVE: This study aimed to determine whether machine learning-derived...

Oncology nursing at an inflection point: Five imperatives for the next five years.

Artificial Intelligence-Assisted Writing and Editing, and the Rise of "Tortured Phrases" in Nursing Literature.

Radiomics-Based Machine Learning versus the MAP Score for Predicting Haematocrit Decline after Laparoscopic Partial Nephrectomy.

OBJECTIVE: To evaluate and compare the ability of the Mayo Adhesive Probability (MAP) score and radiomics-based machine learning approaches to predict...

Embedding Nursing Epistemics into the Human Values Project: A Framework for Clinically Grounded, Human-Centered Artificial Intelligence.

Point-of-Care Artificial Intelligence Measure of Seizure Burden Associates With Clinical Outcome at Discharge.

OBJECTIVES: Point-of-care (POC) electroencephalography (EEG) enabled with artificial intelligence (AI) algorithms hold the potential to address gaps i...

From Bench to Bedside: The Path Toward Real-World Translation for Artificial Intelligence in Pancreatic Cancer Detection.

Patients with pancreatic cancer have low survival rates, largely because patients are diagnosed at an advanced stage. Current strategies for early det...

Perceptions of Intensive Care Nurses Toward Artificial Intelligence Technologies: A Qualitative Study.

Intensive care nurses play a pivotal role in patient care; however, their perceptions and concerns regarding artificial intelligence (AI) in intensive...

Digital Health in Midwifery Practice: A Qualitative Review of Midwives' Experiences and Perceptions.

AIM: To synthesize qualitative evidence on midwives' experiences and perceptions regarding the use of digital health technologies in clinical maternit...

Portable Moxibustion Robot With Intelligent Acupoint Positioning Guided by Visual Sensing.

BACKGROUND: To overcome key challenges in traditional moxibustion, such as the shortage of skilled practitioners, time-consuming and labour-intensive ...

Artificial Intelligence in Intensive Care Nursing: Signal Amplification and Epistemic Blind Spots.

Development of the ChatGPT Attitude Scale for Nursing Education: A Methodological Study.

This methodological study aimed to develop a reliable and valid scale to measure nursing students' attitudes toward the use of ChatGPT in nursing educ...

Cancer workforce-a global crisis: a Lancet Oncology Commission.

The shortage of well-trained personnel to deliver cancer care and conduct research remains a major obstacle to reducing disparities in cancer survival...

Clinical subtypes and prognosis of new-onset atrial fibrillation in critically ill patients.

BACKGROUND: New-onset atrial fibrillation (NOAF) is a common cardiovascular complication in critically ill patients and is consistently associated wit...

Artificial intelligence can replace nursing tasks, but not nurses: Examining artificial intelligence's supports and threats to nursing practice through the lens of the 2025 Nursing Code of Ethics.

BACKGROUND: Nurses are concerned that artificial intelligence (AI) could undermine the holistic, intuitive, and experience-based clinical judgment tha...

Shift-Specific Patterns of Nursing Workloads in the Emergency Department: AI Powered Analysis.

AIM: To identify and differentiate workload patterns across shifts and to provide evidence for optimizing nursing workforce allocation in emergency de...

An art-based mixed-methods study exploring children's environmental preferences in home-based nursing research.

BACKGROUND: Evidence-based strategies for designing environments conducive to paediatric clinical research home visits are limited, particularly in lo...

Investigating the associations between AI-Based educational tool utilization, academic procrastination, academic achievement, and time management among nursing students.

BACKGROUND: The role of artificial intelligence (AI) tools in education has transformed the way students learn and manage their academic tasks. Howeve...

The Tip of the Iceberg: Pathway Biology Must Anchor the Next Generation of Critical Care Trials.

Heterogeneity of treatment effect has yielded decades of negative critical care trials. Syndromic diagnoses like sepsis and acute respiratory distress...