Nursing

GenAI-Supported Virtual Patients in Health Care Education: Systematic Review.

BACKGROUND: Generative artificial intelligence (GenAI) is enhancing virtual patient simulations in health care education by enabling dynamic, adaptive interactions, reshaping how clinical skills are taught. A synthesis of the current evidence is needed to guide implementation and future research, given the pace of technological advancement. OBJECTIVE: This systematic review aims to synthesize empi...

Identification of sepsis subphenotypes: current methods and clinical implications in critical care practice. A structured narrative review.

Sepsis demonstrates high variability in clinical manifestations, and patients with similar manifestations at the moment of diagnosis usually develop in very different ways. Such differences are explained by the difference in the immune response and organ reactions to infection. To counter this diversity, scientists have started to classify the patients into subphenotypes to determine whether the t...

Economic evaluations of digital health interventions on maternal, newborn and child health in low-income and middle-income countries: a systematic review protocol.

INTRODUCTION: Digital health interventions have emerged as promising solutions to strengthen maternal, newborn and child health (MNCH) systems in low-...

A multimodal deep learning framework for clinical nursing assessment in lumbar fusion surgery via representation learning and feature extraction.

Medical image interpretation plays a critical role in lumbar fusion surgery, where accurate analysis of anatomical structures is essential for clinica...

Intelligent technologies in operating room nursing: A bibliometric analysis of research.

BACKGROUND: The integration of intelligent technologies in operating room nursing represents a rapidly evolving field. Intelligent operating room nurs...

Ethical Assessment of Generative AI Tools for Clinical Summarization Tasks.

As healthcare organizations' use of generative AI moves from initial experimentation to scaled deployments, the need to build oversight systems to ide...

Effects of digital leadership on the attitudes of manager nurses toward AI: A cross-sectional study.

BackgroundDigital technologies are reshaping leadership in nursing, making it essential to understand how digital leadership relates to attitudes towa...

MORGAS (MORtality ORiented Glucose, Age, Smoking, and Stent Score) predicts mortality after percutaneous coronary intervention.

BACKGROUND: Accurate prediction of mortality after percutaneous coronary intervention (PCI) remains a clinical challenge. Existing risk scores often l...

Leveraging natural language processing software to implement and execute abdominal aortic aneurysm surveillance.

BACKGROUND: Long-term follow-up is essential for patients with abdominal aortic aneurysms (AAAs). Our health system implemented an AAA surveillance pr...

Development and application of an artificial intelligence agent-based case teaching model for health assessment: A quasi-experimental study.

BACKGROUND: Health assessment is a cornerstone of nursing education, playing a pivotal role in fostering comprehensive clinical assessment skills and ...

Eroding scholarly integrity: Confronting the misuse of generative AI in nursing education.

The integration of generative artificial intelligence (AI) into higher education has introduced powerful tools to support student learning. In nursing...

Microbial succession from nursery to vineyard highlights the role of beneficial and pathogenic microbes in young vineyard yield.

BACKGROUND: The grapevine microbiome plays a central role in shaping vineyard performance, yet the influence of nursery inherited microbes on vineyard...

Optimisation Drift and Substitution Risk in Artificial Intelligence-Supported Personalised Mental Health Nursing: A Critical Synthesis on Therapeutic Presence and Care Biography.

INTRODUCTION: Artificial intelligence-supported personalisation is accelerating in mental health services, yet it can reclassify relationship, biograp...

Toward an AI-integrated nursing curriculum: A Kano model analysis of generative AI competency needs.

BACKGROUND: Generative artificial intelligence (GenAI) is increasingly influencing nursing practice and education, yet a gap remains between technolog...

Extending Tanner's framework: the digital clinical judgment model for nursing education.

BACKGROUND: Clinical judgment is a core competency across healthcare professions and is commonly conceptualized through Tanner's model, which incorpor...

Comparative performance of artificial intelligence models in intensive care nursing questions: an evaluation of ChatGPT, DeepSeek, and Google Gemini.

BACKGROUND: The complexity and rapidly evolving nature of critical patient care in Intensive Care Units underscore the importance of the accuracy and ...

Data-driven outcome prediction and rational resource allocation in severe traumatic brain injury: a multicenter retrospective study integrating survival analysis and machine learning ensembles.

INTRODUCTION: Severe traumatic brain injury (sTBI), is a leading cause of death and disability among young and middle-aged populations worldwide. OBJE...

Bridging the governance gap in health artificial intelligence: integrating nursing perspectives into the National Academy of Medicine Artificial Intelligence Code of Conduct.

BACKGROUND AND APPROACH: In 2025, the National Academy of Medicine released an Artificial Intelligence Code of Conduct (AICC). In this commentary, we ...

Research Topics and Trends in MIMIC-IV: A Large ICU Database Relevant for Critical Care Nursing.

BACKGROUND: The Medical Information Mart for Intensive Care-IV (MIMIC-IV) clinical database has become a central resource for data-driven critical car...

Facilitating the Implementation of Artificial Intelligence as Complex Health Interventions in Intensive Care Nursing.

Artificial intelligence (AI) has the potential to integrate and digest vast amounts of information to aid clinical decision-making and organise the lo...