Nursing

Comparison of perioperative outcomes between robotic and laparoscopic partial nephrectomy: a systematic review and meta-analysis.

CONTEXT: Robotic partial nephrectomy (RPN) is rapidly increasing; however, the benefit of RPN over l...

Learning curves for robot-assisted and laparoscopic partial nephrectomy.

OBJECTIVES: To evaluate the learning curve of robot-assisted partial nephrectomy (RAPN) and laparosc...

Quantifying care coordination using natural language processing and domain-specific ontology.

OBJECTIVE: This research identifies specific care coordination activities used by Aging in Place (AI...

The effect of robotic telerounding in the surgical intensive care units impact on medical education.

Robotic telerounding is effective from the standpoint of patients' satisfaction and patients' care i...

Humanoid robotics in health care: An exploration of children's and parents' emotional reactions.

A new non-pharmacological method of distraction was tested with 57 children during their annual flu ...

Factors affecting Artificial Intelligence usage intention among nursing students: Unified theory of acceptance and use of technology.

BACKGROUND: Nursing students' acceptance and usage of AI are crucial for embracing and implementing ...

Understanding Clinicians' Usage Patterns of the CONCERN Early Warning System: Insights from a Multi-Site Pragmatic Cluster Randomized Controlled Trial.

The CONCERN Early Warning System (EWS) uses artificial intelligence (AI) to analyze nursing document...

Leveraging Retrieval Augmented Generation-Driven Large Language Models to Extract Dementia Agitation Symptoms and Triggers from Free-Text Nursing Notes.

Unstructured electronic health records are a rich source of patient-specific information but are cha...

Optimizing Nursing Records: Exploring the Impact of AI-Enhanced Documentation.

The standardization of medical records through structured templates has gained importance in improvi...

Advancing Patient-AI Conversations with Recursive Learning Memory Using Relational Frame Theory.

The future of Artificial General Intelligence (AGI) in bedside care relies on integrating human psyc...

Pilot Application of a Large Language Model to Identify Hospitalisation from Unstructured Electronic Health Records in Residential Aged Care Facilities.

Older people in residential aged care facilities (RACFs) visit hospitals and utilise healthcare serv...

A Scale Development Study: Ethical Sensitivity Towards Artificial Intelligence and Robot Nurses.

BACKGROUND: Socially assistive robots use social interactions to monitor, coach, provide companionsh...

Bedside Ultrasound Vector Doppler Imaging System With GPU Processing and Deep Learning.

Recent innovations in vector flow imaging promise to bring the modality closer to clinical applicati...

So You've Got a High AUC, Now What? An Overview of Important Considerations when Bringing Machine-Learning Models from Computer to Bedside.

Machine-learning (ML) models have the potential to transform health care by enabling more personaliz...

Optical coherence tomography angiography as a tool for diagnosis and monitoring of sickle cell related eye disease: a systematic review and meta-analysis.

Sickle cell retinopathy (SCR) is an ocular manifestation of sickle cell disease (SCD). In SCR abnorm...

Fostering creativity-nurturing behaviors among nurse educators: Investigating the interplay between evidence-based practice climate and artificial intelligence competence self-efficacy.

BACKGROUND: Fostering creativity in nursing education is essential for equipping students with criti...

Investigation of the relationship between medical artificial intelligence readiness and individual innovativeness levels in nursing students.

AIM: This study was conducted to identify nursing students' medical artificial intelligence readines...

Integration of Virtual Technology and Artificial Intelligence Improves Satisfaction, Patient Safety, and Nursing Workforce Efficiency.

Artificial intelligence and advanced practice nursing.

This article explores the integration of artificial intelligence (AI) in advanced practice nursing, ...

Artificial intelligence in cardiovascular practice: Bringing the technology to the bedside.

Integrating artificial intelligence and machine learning in nursing practice: opportunities, methods and challenges.