Nursing

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.

Artificial intelligence in nursing education: A scoping review of intelligent tutoring systems-evidence and implementation gaps.

BACKGROUND: The concept of ITSs is widely implemented across educational settings, but their adoptio...

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...

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...

Protocol for the development and validation of a questionnaire to evaluate user-robot interaction in the compounding of hazardous drugs in a hospital setting.

INTRODUCTION: The automation of hazardous drug preparation in hospitals using robotic systems is an ...

"Is GenAI my supervisor?" Experiences of nursing undergraduates in using generative AI to assist in case study theses: A qualitative study.

OBJECTIVE: This qualitative study aimed to explore the experiences of nursing undergraduate students...

Nurse educators' experiences integrating artificial intelligence in teaching and practice: A descriptive phenomenological study.

BACKGROUNDS: Artificial intelligence (AI) is rapidly reshaping nursing education by transforming tea...

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-...

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...