Nursing

Exploring the Ethical Dimensions of AI-Driven Patient Monitoring in Critical Care Nursing: A Systematic Review.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in intensive care units (ICUs) to enhance monitoring, prediction and decision-making. While these systems may improve patient safety and support nursing practice, their integration raises significant ethical concerns. AIM: To explore the ethical dimensions of AI-driven patient monitoring in critical care nursing, focusing on autonomy...

Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review.

Recognizing the complexity of decision-making is essential in nursing practice, where Artificial Intelligence (AI) can serve as a valuable tool to support nurses in the process of decision-making. This scoping review aims to map and systematize evidence regarding AI's contributions to nursing decision-making, following the Joanna Briggs Institute (JBI) methodological approach. Databases consulted:...

Machine Learning in Assessing Intraoperative Blood Loss: A Systematic Review and Meta-Analysis.

AIM: To evaluate the value of machine learning in assessing intraoperative blood loss by comparing associated outcomes with those of the gold standard...

Evaluation of Information Generated by ChatGPT on Preventing Peripheral Venous Catheter-Related Infections.

AIM: To evaluate the accuracy and completeness of information generated by ChatGPT models in preventing peripheral intravenous catheter-related infect...

Sharing Experiences on the Use of Artificial Intelligence in Nursing Education.

Skin-Interfaced Wireless Biomechanical System for Detecting Aspiration in Elderly Populations.

Aspiration is prevalent in the elderly population, and can lead to life-threatening conditions such as suffocation and aspiration pneumonia. However, ...

AI-enhanced therapeutic drug monitoring for vancomycin and β-lactam antibiotics in critical care: from population PK to bedside algorithms.

INTRODUCTION: Although sepsis and other severe infections in intensive care are common and deadly, obtaining safe and effective exposure for vancomyci...

The road to bedside: addressing key hurdles for deep learning prognostic models in light-chain cardiac amyloidosis.

Balancing life and leadership: Artificial intelligence as a partner for nurse leaders.

Artificial intelligence in nursing education: A scoping review of intelligent tutoring systems-evidence and implementation gaps.

BACKGROUND: The concept of ITSs is widely implemented across educational settings, but their adoption in nursing education remains poorly understood. ...

Effectiveness of natural language intelligence technology in chronic diseases nursing: A systematic review and meta-analysis.

BACKGROUND: Chronic diseases pose a heavy global burden, with challenges in utilizing unstructured data for continuous care. Natural language intellig...

Integrating Clinical Modeling and Machine Learning for Risk Assessment of Paracetamol and Other Nonsteroidal Anti-Inflammatory Drug Hypersensitivity in Children.

BACKGROUND: Nonsteroidal anti-inflammatory drug (NSAID) hypersensitivity is a common cause of drug-related reactions in children. Pre-test risk strati...

Exploring key risk factors for loss to follow-up after hospitalization for acute stroke.

BACKGROUND: A significant proportion of stroke patients are lost to follow-up (LTFU) after discharge, which may increase risks of morbidity, mortality...

AI-Enabled Wearables for Motor Function Assessment and Rehabilitation in Parkinson Disease: Scoping Review.

BACKGROUND: Artificial intelligence (AI)-enabled wearable devices are rapidly emerging in rehabilitation and motor function assessment for patients wi...

Artificial intelligence anxiety among nursing and midwifery students: the role of resistance to change - a cross-sectional study.

Machine learning methods to evaluate fluctuation in oxygenation and peripheral tissue temperature, in sacral and trochanteric area under pressure in healthy subjects and institutionalized patients. A prospective non-randomized trial.

AIM: To evaluate the longitudinal changes observed over a period of 120 min in patterns of tissue perfusion, peripheral oxygenation and local temperat...

Standards-Aligned Integration of Artificial Intelligence and Simulation in Nursing Professional Development for Novice Nurse Readiness.

As artificial intelligence (AI) reshapes health care delivery, nursing professional development (NPD) educators must develop digital readiness in novi...

A machine learning model for prediction of early-onset neonatal sepsis in low-income and middle-income countries: development and validation study.

OBJECTIVE: Early-onset sepsis (EOS), which occurs within the first 72 hours of life, can often be fatal for neonates. Machine learning (ML) models dem...

Enhancing agreement in cardiotocography interpretation between midwives and obstetricians through a rule-based AI program: A comparative cross-sectional study.

OBJECTIVE: To evaluate whether a rule-based artificial intelligence (AI) program can enhance interrater agreement in cardiotocography (CTG) interpreta...

Generative artificial intelligence in dementia care: a scoping review protocol on nursing roles, experiences and ethical perspectives.

INTRODUCTION: Generative artificial intelligence (GAI), including large language models and multimodal generative systems, is rapidly emerging in heal...