Nursing

Recent Advances in AI for Automated ICD Coding: A Systematic Literature Review.

International Classification of Diseases (ICD) codes enable correct billing, insurance reimbursement...

Machine learning-based prediction of hospital-associated complications after tibial fracture surgery in older patients: a nationwide Japanese database study.

BACKGROUND: Older adults requiring emergency surgery for acute tibial fractures are vulnerable to ho...

Teaching Critical Appraisal in the Age of Generative Artificial Intelligence: A Structured Framework for Nursing Education.

Awareness, knowledge and attitudes towards artificial intelligence among nursing students: a systematic review protocol.

INTRODUCTION: Internationally, nursing students' awareness and familiarity with artificial intellige...

Response letter to Prasetyo et al regarding "End-of-life education: An explorative study using artificial intelligence simulations in undergraduate nursing.

A Five-Step Faculty Development Checklist for Artificial Intelligence in Nursing Education.

BACKGROUND: Artificial intelligence (AI) is increasingly available to faculty and students, yet adop...

Cross-national analysis of learning approaches, achievement motivation, and academic success among nursing students.

BACKGROUND: Academic success among nursing students is vital for developing the professional skills ...

Simulator development using natural language: clinician-led innovation through artificial intelligence.

BACKGROUND: Healthcare simulation training faces significant barriers due to the "clinician-develope...

Effectiveness of Artificial Intelligence-Based Nursing Interventions for Chronic Illness Care: Umbrella Review.

BACKGROUND: Artificial intelligence (AI)-based nursing interventions are increasingly being used to ...

A Preliminary Approach to Fall Risk Assessment in Aged Care Facilities Using Generative AI Technologies.

Falls among elderly residents in residential aged care facilities (RACFs) are a critical public heal...

Non-invasive arterial blood pressure waveform generation in critically ill patients: A sensor-based deep learning approach.

Continuous monitoring of Arterial Blood Pressure (ABP) in critically ill patients requires invasive ...

Development and Psychometric Evaluation of the Attitudes Toward the Use of Artificial Intelligence in Nursing Care Scale.

Background and Purpose: The rapid expansion of artificial intelligence in health care is reshaping c...

Knowledge, attitudes, practices and ethics related to artificial intelligence among nursing students: a national cross-sectional survey in China.

BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare. Current and future heal...

Predicting nurses' behavioral intention to adopt artificial intelligence in a resource-limited setting: an extended technology acceptance model study in Iran.

BACKGROUND: The integration of Artificial Intelligence (AI) into healthcare systems has the potentia...

From Prediction to Action: Why Bleeding Risk in Cardiac Surgery Still Eludes Us in the Era of Artificial Intelligence.

Perioperative bleeding in cardiac surgery remains common, consequential, and difficult to predict de...

Predicting Neonatal Respiratory Outcomes Using Machine Learning: A Systematic Review Through a Life Course Lens.

BACKGROUND: Neonatal respiratory outcomes remain leading drivers of neonatal intensive care unit (NI...

Data-driven subtypes of postoperative delirium in surgical ICU patients: a secondary analysis of a prospective cohort study.

BACKGROUND: Postoperative delirium (POD) is a heterogeneous syndrome associated with adverse outcome...

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 unit...

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 definitiv...

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...

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

Telemedical applications are increasing-ranging from patients contacting a general practitioner to t...