Nursing

Artificial Intelligence Technologies for Nursing Development: A Review of the Current Literature.

Recent years have seen rapid development of artificial intelligence (AI) technology revolutionizing ...

N!CA: Towards Digitalisation of Innovative Care Processes to Unburden and Empower Nurses.

Demand for nursing care will intensify in the coming decades based on demographics, chronic diseases...

Conversion of Nursing Statements into the OMOP Common Data Model.

The aim of this study is to convert nursing statements into the OMOP CDM for use in observational st...

Delirium Identification from Nursing Reports Using Large Language Models.

This study investigates large language models for delirium detection from nursing reports, comparing...

Controlled Intervention Study on Effects of an AI-Based App to Support Wound Care: First Results.

The KIADEKU project combines datascience and the clinical expertise of wound experts to develop and ...

Artificial intelligence for severity triage based on conversations in an emergency department in Korea.

In the fast-paced emergency departments, where crises unfold unpredictably, the systematic prioritiz...

Evaluation of artificial intelligence (AI) chatbots for providing sexual health information: a consensus study using real-world clinical queries.

INTRODUCTION: Artificial Intelligence (AI) chatbots could potentially provide information on sensiti...

Analyzing the Strengths, Weaknesses, Opportunities, and Threats (SWOT) of Chatbots in Emergency Nursing: A Narrative Review of Literature.

Artificial intelligence (AI) has the potential to enhance health care by optimizing patient manageme...

Artificial Intelligence and Nursing Practice.

Ethics: Crisis Standards of Care Simulation.

Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, v...

Artificial Intelligence, Digital Health Research, and the Clinical Nurse Specialist.

NurValues: Real-World Nursing Values Evaluation for Large Language Models in Clinical Context

This work introduces the first benchmark for nursing value alignment, consisting of five core valu...

Integrating Natural Language Processing and Exercise Monitoring for Early Diagnosis of Metabolic Syndrome: A Deep Learning Approach

Metabolic syndrome (MetS) is a medication condition characterized by abdominal obesity, insulin re...

A Software-Defined Sensor System Using Semantic Segmentation for Monitoring Remaining Intravenous Fluids.

Accurate intravenous (IV) fluid monitoring is critical in healthcare to prevent infusion errors and ...

Nursing Faculty and Students' Satisfaction With Telepresence Robots During the COVID-19 Pandemic.

BACKGROUND: Telepresence robots provide real-time audio, video, and mobility features, allowing facu...

Robots Are Promising Innovations for Nursing Practice.

Rapid Response System Restructure: Focus on Prevention and Early Intervention.

This article describes the staged restructure of the rapid response program into a dedicated 24/7 pr...

Nurses, Robots, and the Essence of Nursing Care.

Identifying Symptom Information in Clinical Notes Using Natural Language Processing.

BACKGROUND: Symptoms are a core concept of nursing interest. Large-scale secondary data reuse of not...

Reactions and Engagement of Individuals with Dementia Toward Humanoid Assistive Robots: A Study Using the Pepper Robot.

While robot acceptance in different populations is well-studied, little is known about how individua...

Use of Artificial Intelligence in Current Fight Against Antimicrobial Resistance.

Antimicrobial resistance (AMR) poses a significant global health threat, with projections indicating...