Nursing

Dharma: A novel, clinically grounded machine learning framework for pediatric appendicitis-Diagnosis, severity assessment and evidence-based clinical decision support.

Acute appendicitis is a common but diagnostically challenging surgical emergency in children. Existi...

Assessing greenspace and cardiovascular disease risk through deep learning analysis of street-view imagery in the US-based nationwide Nurses' Health Study.

BACKGROUND: Living near greenspace is associated with decreased cardiovascular disease (CVD). Greens...

Leveraging an AI-Driven Voice Companion to Enhance Mental Health in Older Adults in Post-Acute and Long-Term Care Settings: A Feasibility Study.

Loneliness, depression, and anxiety are prevalent among older adults in post-acute and long-term car...

Integrating Artificial Intelligence in Nursing Practice With Decubitus Risk Prediction Alerts: A Pilot Process Evaluation.

AIMS: To evaluate the acceptability and feasibility among nurses of Decubitus Risk Prediction Alerts...

A latent profile analysis of artificial intelligence literacy among undergraduate nursing students: a cross-sectional study.

Comment on "The Effect of Artificial Intelligence in Promoting Positive Nursing Practice Environments: Mixed Methods Systematic Review".

Artificial intelligence and precision medicine.

From genome sequencing to single-cell multi-omics profiling, bioinformatic data holds massive promis...

Attitudes of psychiatric nurses towards the integration of artificial intelligence applications to clinical care: a qualitative study in China.

BACKGROUND: The application of artificial intelligence in mental health faces unique challenges. Psy...

Optimisation of Maslow's hierarchy of needs-based survey form for nursing home residents using machine learning.

The global increase in the elderly population necessitates accurate assessment of the needs of indiv...

Insights Into Factors Affecting Nurses' Knowledge of and Attitudes Toward AI and Implications for Successful AI Integration in Critical Care: Cross-Sectional Study.

BACKGROUND: Assessing the current landscape of nurses' knowledge and attitudes is a critical first s...

Applications, attitudes and ethical considerations of Generative Artificial Intelligence (Gen AI) in nursing education: a scoping review.

BACKGROUND: Generative Artificial Intelligence (Gen AI) is a type of artificial intelligence that ca...

Construction of a classification system for long-term care service needs among the elderly based on cluster analysis and machine learning: A multi-center, cross-sectional study in central China.

BACKGROUND: Rapid global aging has led to an increasing demand for long-term care services for the e...

Exploration of Mental Health and Stress Among Nursing Interns Through a Chatbot: A Single-Group Pilot Study.

BACKGROUND: Nursing interns face early clinical distress; chatbot-based mental health tools show pro...

Attitudes and readiness of nursing students practising in surgical units towards artificial intelligence: a cross-sectional study.

BACKGROUND: In surgical fields at the forefront of technological advancement with both virtual and p...

Digital markers and phenotypes of rest-activity rhythms in people with advanced dementia using real-time location data.

BACKGROUND: Disrupted sleep and circadian rhythms in dementia affect rest-activity patterns and impa...

The effectiveness of AI-based conversational agents in nursing education: A systematic review.

AIM: Comprehensive evaluation of randomized and non-randomized controlled trials (RCTs and NRCTs, re...

Development and deployment of an interpretable stacking ensemble model for predicting in-hospital mortality in ICU patients with chronic kidney disease and sepsis.

OBJECTIVE: To develop an interpretable stacking ensemble model for predicting in-hospital mortality ...

Robot Nurses and Artificial Intelligence in Pediatrics: Opinions of Pediatric Nurses: A Qualitative Study.

INTRODUCTION: This study was conducted to explore the views of pediatric nurses on robot nurses and ...

Artificial Intelligence in Pediatric Practice: Controversies, Policy, and Practical Pointers forNurse Practitioners.

Artificial intelligence (AI) is rapidly transforming pediatric healthcare, yet many pediatric nurse ...

Guidance for Scholarly Writing: Assuring Ethical Publishing Standards for Nursing Professionals and Doctoral Students.

Nursing professionals and doctoral nursing students engage in scholarly work throughout the academic...

Characteristics and determinants of artificial intelligence (AI) literacy in Chinese nursing students: A cross-sectional study.

BACKGROUND: Artificial intelligence literacy is essential for nursing students to become competent i...