Nursing

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...

Nursing as a Lingua Franca for Artificial Intelligence in Patients' Care Trajectories: Where Are We Headed?

Use of Artificial Intelligence in Nursing Professional Development Roles.

Clinical Bedside Benchmarking Test for Measuring the Total Hemoglobin Concentration.

OBJECTIVE: Accurate total hemoglobin concentration (ctHb) measurement is critical for clinical decis...

Examining the Impact of Interface Design and Nurse Characteristics on Satisfaction With Machine Learning Decision Support Explanations.

Machine learning has the potential to drive the next generation of clinical decision support systems...

Ethical risks in robot health education: A qualitative study.

BackgroundAs health education robots may potentially become a significant support force in nursing p...

ChatGPT in Higher Education: Practical Ideas for Addressing Artificial Intelligence in Nursing Education.

BACKGROUND: As the use of artificial intelligence (AI) becomes more prevalent in academic settings, ...

Building Clinical Simulations With ChatGPT in Nursing Education.

BACKGROUND: Competency-based nursing education necessitates effective instructional methods and asse...

Using an AI-Powered Solution to Transform Nursing Workflow and Improve Inpatient Care: A Retrospective Observational Study.

BACKGROUND: Nurses face an escalating workload, including tasks not directly related to patient care...

Applying Data Mining to Predict Perceived Benefits Risks of Robotics at Home for Dementia Caregiving Among African American Families.

We used data mining to predict the attitudes of 527 caregivers towards the pros and cons of using ro...

Assessment of Social Robotics for the Enhancement of Cognitive and Physical Functioning in Older Adults.

In the field of elder care, many countries are facing a shortage of nursing staff, which presents a ...

GPT-4 in Clinical Practice: Assessing Its Capability for Symptom Extraction from Cancer Patient Notes.

Accurate extraction of patient symptoms and signs from clinical notes is essential for effective dia...

Using machine learning models to identify severe subjective cognitive decline and related factors in nurses during the menopause transition: a pilot study.

OBJECTIVE: This study aims to develop and validate a machine learning model for identifying individu...