Nursing

Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs.

BACKGROUND AND OBJECTIVES: Bedside chest radiographs (CXRs) are challenging to interpret but importa...

AI-ENABLED ASSESSMENT OF CARDIAC FUNCTION AND VIDEO QUALITY IN EMERGENCY DEPARTMENT POINT-OF-CARE ECHOCARDIOGRAMS.

BACKGROUND: The adoption of point-of-care ultrasound (POCUS) has greatly improved the ability to rap...

An Ignatian approach to incorporating artificial intelligence into nursing curricula.

Chatting or cheating? The impacts of ChatGPT and other artificial intelligence language models on nurse education.

Evaluating of the clinical eff ect of the robocare nursing model in Da Vinci robot-assisted radical cancer surgery.

The State of Artificial Intelligence in Nursing Education: Past, Present, and Future Directions.

As health care continues to evolve and become increasingly complex, nursing education must also evol...

Automated location of orofacial landmarks to characterize airway morphology in anaesthesia via deep convolutional neural networks.

BACKGROUND: A reliable anticipation of a difficult airway may notably enhance safety during anaesthe...

Prediction models for the impact of the COVID-19 pandemic on research activities of Japanese nursing researchers using deep learning.

AIM: This study aimed to construct and evaluate prediction models using deep learning to explore the...

Visual classification of pressure injury stages for nurses: A deep learning model applying modern convolutional neural networks.

AIMS: To develop a deep learning model for pressure injury stages classification based on real-world...

Development of a deep learning-based tool to assist wound classification.

This paper presents a deep learning-based wound classification tool that can assist medical personne...

Sensing and Automation Technologies for Ornamental Nursery Crop Production: Current Status and Future Prospects.

The ornamental crop industry is an important contributor to the economy in the United States. The in...

Nurses' perception towards care robots and their work experience with socially assistive technology during COVID-19: A qualitative study.

This study aimed to explore nurses' perceptions towards care robots and their work experiences in ca...

[Operating room nurses and the surgical robot, turning a competitor into an ally].

The ambivalence of the professional identity of the State Certified Operating Room Nurse (SCNO) is d...

Prospective Real-Time Validation of a Lung Ultrasound Deep Learning Model in the ICU.

OBJECTIVES: To evaluate the accuracy of a bedside, real-time deployment of a deep learning (DL) mode...

Long-term care insurance purchase decisions of registered nurses: Deep learning versus logistic regression models.

OBJECTIVE: The purpose of this study was to use a deep learning model and a traditional statistical ...

[Digitalization in healthcare: today and in the future].

Although Germany continues to struggle with the digital transformation of healthcare, there is reaso...

Enhancing Nurse-Robot Engagement: Two-Wave Survey Study.

BACKGROUND: Robots are introduced into health care contexts to assist health care professionals. How...

A rise-assisting robot extends life space and improves facial expressions of nursing home residents.

BACKGROUND: The introduction of nursing care-support devices using robotic technology is expected to...

Toward bedside computation of myocardial infarction risk using noninvasive analysis of patients living with coronary artery disease.

Global output on artificial intelligence in the field of nursing: A bibliometric analysis and science mapping.

PURPOSE: To analyze the AI research in the field of nursing, to explore the current situation, hot t...

From computer to bedside, involving neonatologists in artificial intelligence models for neonatal medicine.

In recent years, data have become the main driver of medical innovation. With increased availability...