Nursing

Constructing digital professionalism in the generative AI era: A qualitative study with nursing students and faculty.

BACKGROUND: Generative artificial intelligence (AI) is entering coursework, simulation, and assessme...

Predictive accuracy of Early Warning Score Systems for Detecting Critically Ill Patients in an Outpatient Setting.

Background No systematic methods exist for triaging outpatients with severe conditions. Our previous...

Patterns of AI Use in Clinical Work by Hospitalists: Survey Study.

BACKGROUND: Artificial intelligence (AI) tools are widely and freely available for clinical use. Und...

Prediction of high-flow nasal cannula failure in critically ill patients: a narrative review.

High-flow nasal cannula (HFNC) therapy is widely used for respiratory support in critically ill pati...

Computational frameworks for automated detection and quantification of paroxysmal sympathetic hyperactivity among traumatic brain injury patients.

Paroxysmal sympathetic hyperactivity (PSH) is a syndrome that occurs in a large subset of critically...

AI in School Health: Is It Appropriate for Mental Health Help?

The utilization of artificial intelligence (AI) in healthcare is rapidly developing with many unknow...

Digital Ethics in Nursing: A Scoping Review.

AIM: To map the digital ethics studies published to date in the field of nursing. BACKGROUND: The in...

AI Technology Acceptance, Decent Work Perception, and Job Crafting Among Nurses: A Three-Wave Cross-Lagged Study.

AIM: To examine how nurses' acceptance of artificial intelligence influences job crafting over time ...

Advancing Global Nursing Policy: AI-Driven Health Literacy Innovations for Migrant Domestic Workers.

AIM: This perspective proposes evidence-informed strategies to advance health literacy equity for mi...

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 e...

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 Int...

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 a...

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 prevent...

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 ...

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, o...

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.

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 d...

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-r...

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...