Nursing

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 rehabilita...

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 pe...

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...

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 fa...

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 interra...

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 multimod...

Predicting Geriatric Rehabilitation Stays of ≤4 Weeks After Hip Fracture Surgery: Machine Learning Approach Using Physical Activity and Patient Data.

BACKGROUND: In 2022, over 18,000 patients aged ≥70 years were hospitalized in the Netherlands for a ...

Views of Pediatric Nurses on the Use of Artificial Intelligence-Supported Social Robots in Pediatric Clinics: A Qualitative Study.

This study was conducted to determine pediatric nurses' views on the use of artificial intelligence-...

Rapid response teams for new leaders: a narrative review of global evidence and implementation strategies with a focus on Japan.

BACKGROUND: Rapid response systems (RRSs) are designed to detect and treat physiological deteriorati...

Adoption of AI in nursing education- A systematic review of factors influencing student intentions.

AIM: This study seeks to perform a systematic review of the literature on the factors influencing in...

Exploratory analysis of machine learning models for state and trait anxiety based on Spielberger questionnaire data in nursing students.

Reimagining intensive care unit recovery: The Critical Illness Survivorship Programme for humanising post-intensive care unit care - A discussion paper.

BACKGROUND: Survivorship after critical illness is often characterised by fragmented recovery and li...

Predictors and Perceptions of mHealth App Engagement in Older Adults: A Mixed-Methods Study on Nurse-Supported Interventions.

OBJECTIVES: To examine nurse-supported interventions on sustained mobile health (mHealth) engagement...

Multidimensional analysis of postoperative nursing challenges in oral cancer surgery: a retrospective study of 245 patients and proposal of the PROTECT mode.

PURPOSE: The quality of postoperative care for oral tumors critically influences patient prognosis a...

Performance of Large Language Models in the Japanese Public Health Nurse National Examination: Comparative Cross-Sectional Study.

BACKGROUND: Large language models (LLMs) have shown promising results on Japanese national medical a...

Let's Talk Tech: The Role of Technology in Neurology Education.

As a field, neurology can seem complicated, overwhelming, and at times ambiguous and uncertain. Howe...

Innovative Ways to Use Artificial Intelligence in Nursing Education.

BACKGROUND: Since the introduction of artificial intelligence (AI) platforms, many nurse educators h...

Biomarkers and advances in AML-MRC: from bench to bedside.

Acute myeloid leukemia with myelodysplasia-related changes (AML-MRC) represents a high-risk subtype ...

Artificial intelligence literacy and academic resilience in undergraduate nursing students: the mediating role of self-efficacy and artificial intelligence anxiety.

A longitudinal examination of clinical simulation in a postpandemic era: A national survey of prelicensure nursing programs.

BACKGROUND: Despite evidence of an uptick in clinical simulation adoption during the pandemic, there...