Nursing

Expert Augmented Prediction of Circulatory and Respiratory Instability from High Resolution Vital Signs.

Timely detection of circulatory and respiratory instability (CRI) is critical in intensive care units (ICUs), yet existing early warning systems often rely on single-parameter indices that underutilize continuous vital-sign data or on delayed, difficult-to-interpret multimodal clinical data. Leveraging routinely collected high-frequency vital-sign monitoring, we developed an interpretable, expert-...

Explainable early prediction of short-term severe deterioration in gallstone-related biliary disease using MIMIC-IV, eICU, and local real-world data.

BACKGROUND: Patients with gallstone-related biliary disease may deteriorate rapidly before definitive source control. This study aimed to develop an interpretable 0-24-hour prediction model for short-term severe deterioration in gallstone-related biliary disease and validate it across eICU-CRD and a local real-world cohort. METHODS: MIMIC-IV was used for model development, eICU-CRD for primary ext...

Community Health Nurses' Perceptions of Emerging Artificial Intelligence and its Impact on Nursing Practice: An Explanatory Sequential Mixed Methods Study.

BackgroundArtificial intelligence (AI) continues to emerge into nursing practice with much of the AI research being conducted in the acute care sector...

[Tele-emergency physicians-a cost-benefit analysis].

Telemedical applications are increasing-ranging from patients contacting a general practitioner to tele-emergency medicine and tele-intensive care for...

Nursing undergraduates' experiences of generative AI-assisted learning in the classroom environment: a qualitative study.

BACKGROUND: Integrating generative artificial intelligence (GenAI) into course learning has emerged as a significant trend in the future development o...

Enhancing perceived clinical competence of nursing students in the AI era: the role of AI acceptance and self-directed learning.

BACKGROUND: In the context of AI-driven transformation in healthcare education, preparing nursing students to effectively engage with generative artif...

Nursing Leadership for Digital NICU Transformation: A Systematic Review of Strategies, Digital Health Integration, and Outcomes in High-Risk Neonates.

BACKGROUND: Digital health technologies are increasingly embedded in Neonatal Intensive Care Units (NICUs), yet the role of nurse-led governance in sh...

Study on the construction and verification of intraoperative pressure injury risk prediction model for children undergoing cardiac surgery.

BACKGROUND: This study applied nomogram to develop an intraoperative acquired pressure injury (IAPI) risk prediction model for pediatric cardiac surge...

Effects of a generative AI-assisted ADPIE Framework on critical thinking, learning self-efficacy, and clinical reasoning in nursing education: a quasi-experimental study.

BACKGROUND: The nursing process is a systematic, patient-centered framework essential for clinical reasoning and decision-making in nursing education....

[The Structured Information Collection as a data source for AI applications: a qualitative study of data quality].

The Structured Information Collection as a data source for AI applications: a qualitative study of data quality Abstract: Background: Artificial intel...

Authorship, moral responsibility, and generative AI in nursing.

The growing integration of generative artificial intelligence into academic writing has generated ethical concern regarding authorship, responsibility...

Trustworthy AI for personalized glycemic control: a systematic review and critical appraisal of multimodal forecasting and safety-critical closed-loop control.

Tight glycemic control reduces acute complications (hypoglycemia, hyperglycemia) and long-term microvascular/macrovascular risks. The application of A...

Artificial Intelligence Enhanced Content Review for Curriculum Evaluation in Nursing Education: A Pilot Study.

BACKGROUND: Curricular evaluation is core to nursing education and can benefit from artificial intelligence-based automation. Large language models of...

Pedagogical strategies for enhancing critical thinking in nursing students using large language models: a mixed-methods systematic review protocol.

INTRODUCTION: Large language models (LLMs) are rapidly normalising in nursing education. However, evidence regarding their impact on critical thinking...

Nanotechnology in reproductive medicine: from gamete engineering to precision therapeutics.

Infertility represents a significant global health burden, necessitating advanced therapeutic interventions. While Assisted Reproductive Technologies ...

Reporting follow-up budgets for diagnostic and predictive AI.

OBJECTIVE: To argue that diagnostic and predictive AI should be evaluated by both classification performance and the downstream work their outputs cre...

Medication-Related Errors Among Nurses by Unit Adaptation Levels: Bayesian Network-Based Exploratory Study.

BACKGROUND: Medical errors occur more frequently in health care than in other industries due to challenges in patient safety education for nurses and ...

Development of the CASPER-Score: A bedside tool integrating AI-based ECG analysis with key clinical predictors to identify relevant coronary artery stenosis in patients after out-of-hospital cardiac arrest.

INTRODUCTION: Out-of-hospital cardiac arrest (OHCA) is a leading cause of mortality worldwide, frequently associated with acute coronary syndromes. Wh...

Corrigendum to "Navigating the Challenges of Artificial Intelligence in Scholarly Writing" [Pain Management Nursing 27/3(2026) 1820].

Task-shifting to nonexperts using artificial intelligence-guided point-of-care ultrasound: a cohort study of patient selection, image quality, and learning curves.

AIMS: To define rates of diagnostic image acquisition, clinical drivers of image quality and the learning curve for artificial intelligence (AI)-guide...