Nursing

Machine Learning to Identify Point-of-Care Ultrasound and Evaluate Standardized Documentation: Retrospective Operational Cohort Study.

BACKGROUND: Point-of-care ultrasound (POCUS) is integral to obstetrics and gynecology (OBGYN), offering bedside diagnostic and therapeutic advantages. Despite its widespread adoption, accurate documentation and billing remain challenging due to inconsistent workflows, variable free-text note quality, and inefficiencies within electronic health record (EHR) systems. These barriers often result in m...

Advancing nurse-led governance of artificial intelligence in healthcare.

The evolution of robotic-assisted thoracic surgery: current platforms, emerging technologies, and future perspectives - a narrative review.

Robotic-assisted thoracic surgery (RATS) has undergone rapid technological evolution over the past two decades, progressively expanding from early min...

The Digital Evolution of the Medical Black Bag: Environmental Scan With Trend Analysis and Horizon Scanning.

BACKGROUND: The medical black bag is synonymous with physicians, especially general practitioners, who are expected to be ready to provide care across...

A team science blueprint for nurse-led artificial intelligence research: Lessons from building AI tools to detect stigmatizing language in obstetric records.

BACKGROUND: Nurse scientists are increasingly expected to lead research applying artificial intelligence (AI) to advance health equity. However, there...

Physician oath, followership and leadership.

Physician oaths are often treated as ceremonial relics or ethical ornaments of graduation. I have come to think they are something more demanding: ear...

Barriers, adoption patterns, and determinants of artificial intelligence use among health sciences students in Palestine.

Artificial intelligence (AI) is increasingly integrated into healthcare education worldwide, yet disparities in access, training, and institutional re...

Beyond the Algorithm: Implementing Critical Online Reasoning to Strengthen Evidence Evaluation in New Nurses Using a Three-step Fact Checking Process.

As digital information and artificial intelligence change how nurses find clinical answers, critically evaluating online sources is vital. An evidence...

Classification of patient-ventilator asynchronies, development of an updated conceptual framework: Scoping review.

PURPOSE: Patient-ventilator asynchrony (PVA), a mismatch between a patient's respiratory effort and the ventilator's support, affects up to 85% of pat...

Altered Temporal dynamics of resting-state EEG microstates as a neural signature of impaired consciousness: a high-density EEG analysis in chronic disorders of consciousness.

PRIMARY OBJECTIVE: To differentiate Unresponsive Wakefulness Syndrome (UWS) from Minimally Conscious State (MCS) using EEG microstates. RESEARCH DESIG...

Bibliometric analysis of ergonomics studies in nursing: Trends and highlights between 1981-2025.

BackgroundErgonomics is important for improving nurses' working conditions and preventing work-related health problems. Research on ergonomics in nurs...

Use, Concerns, and Perspectives on AI in Health Care Among French Health Professionals and Students: Web-Based Cross-Sectional Survey.

BACKGROUND: AI is increasingly discussed and deployed in health care, yet safe and effective implementation depends on the preparedness, trust, and tr...

AI-Enabled Wearable Ultrasound for Noninvasive Central Venous Pressure Monitoring.

Central venous pressure (CVP) is a key indicator of right ventricular preload, but measurement with a central venous catheter (CVC) is invasive, time-...

Harnessing Artificial Intelligence to Support Evidence-based Practice: A Clinical Nurse Specialist Case Application.

PURPOSE/OBJECTIVES: Generative artificial intelligence (GenAI), as a new technology and innovation in practice, is here. The purpose of this paper is ...

Correction: Evaluation of nursing performance during coronary artery bypass grafting surgeries using machine learning analysis of surgical videos: a multicenter retrospective study.

Theranostic innovation in infectious lung diseases: integrating biotechnology and nanotechnology for precision medicine.

INTRODUCTION: Introduction: Infectious lung diseases, including pneumonia, tuberculosis (TB), COVID-19, influenza, and emerging fungal infections, are...

Nurse-Led Large Language Model Chatbot for Predicting and Preventing Complications After Coronary Artery Bypass Grafting: Protocol for a Randomized Controlled Trial.

BACKGROUND: Thirty-day unplanned readmission following coronary artery bypass grafting (CABG) affects 10%-20% of patients and is a key quality indicat...

Prediction of Blood Transfusion Need and Dose in Patients With Upper Gastrointestinal Bleeding: Retrospective Multicenter Prediction Model Study.

BACKGROUND: Transfusion thresholds in upper gastrointestinal bleeding are debated; hemoglobin cutoffs of 70-80 g/L are widely cited yet inconsistently...

Convergences and divergences in nursing ethics across the European Union: A qualitative comparative analysis of national codes.

BACKGROUND: Nursing ethics guides practice, but European Union national codes were developed in diverse socio-legal contexts, generating heterogeneous...

Correction: Introducing artificial intelligence in acute psychiatric inpatient care: qualitative study of its use to conduct nursing observations.