Nursing

Real-world application, challenges and implication of artificial intelligence in healthcare: an essay.

This essay examines the state of Artificial Intelligence (AI) based technology applications in healthcare and the impact they have on the industry. This study comprised a detailed review of the literature and analyzed real-world examples of AI applications in healthcare. The findings show that major hospitals use AI-based technology to enhance knowledge and skills of their healthcare professionals...

Robots as Patient Sitters: Acceptability by Nursing Students.

Grading Nursing Care Study in Integrated Medical and Nursing Care Institution Based on Two-Stage Gray Synthetic Clustering Model under Social Network Context.

Establishing a scientific and sustainable grading nursing care evaluation system is the key to realizing the rational distribution of medical and nurs...

Deep Learning-Based Digital Subtraction Angiography Characteristics in Nursing of Maintenance Hemodialysis Patients.

This study is aimed at exploring the diagnostic value of digital subtraction angiography (DSA) based on faster region-based convolutional networks (Fa...

Trends in artificial intelligence in nursing: Impacts on nursing management.

OBJECTIVE: To investigate the academic use of artificial intelligence (AI) in nursing.

Text mining in long-term care: Exploring the usefulness of artificial intelligence in a nursing home setting.

OBJECTIVES: In nursing homes, narrative data are collected to evaluate quality of care as perceived by residents or their family members. This results...

Exploration of the Application Effect of the Darongtong Course Model Based on Deep Learning Enhancement in Nursing.

In order to explore the application effect of the Darongtong course model based on deep learning enhancement in nursing, a total of 500 students in th...

Application of 5G network combined with AI robots in personalized nursing in China: A literature review.

The medical and healthcare industry is currently developing into digitization. Attributed to the rapid development of advanced technologies such as th...

Effect of Intelligent Medical Data Technology in Postoperative Nursing Care.

Surgery is one of the larger wounds in conventional surgery, and patients often experience different pain and postural discomfort after surgery. With ...

Nurse leaders' and digital service developers' perceptions of the future role of artificial intelligence in specialized medical care: An interview study.

AIM: To describe nurse leaders' and digital service developers' perceptions of the future role of artificial intelligence (AI) in specialized medical ...

DSA Image Analysis of Clinical Features and Nursing Care of Cerebral Aneurysm Patients Based on the Deep Learning Algorithm.

OBJECTIVE: A deep learning algorithm was developed for automatic detection and localization of intracranial aneurysms in DSA, and its clinical charact...

How robots impact nurses' time pressure and turnover intention: A two-wave study.

AIMS: To examine the relationships among effort ensuring robots' smooth operation (EERSO), time pressure, missed care, and nurses' turnover intention,...

Gender and Age Stereotypes in Robotics for Eldercare: Ethical Implications of Stakeholder Perspectives from Technology Development, Industry, and Nursing.

Social categorizations regarding gender or age have proven to be relevant in human-robot interaction. Their stereotypical application in the developme...

A Case Study of Multiple Maintenance Efficacy in Gynaecological Surgery Assessed by Deep Learning.

Deep learning is a new learning concept and a highly effective way of learning, which is still being explored in the field of nursing education. This ...

Surgical and functional outcomes of robot-assisted versus laparoscopic partial nephrectomy with cortical renorrhaphy omission.

To evaluate the surgical and functional outcomes between robot-assisted (CRO-RAPN) vs. laparoscopic (CRO-LPN) methods of cortical-renorrhaphy-omitting...

Artificial intelligence: Challenges & opportunities for the nursing profession.

Bloom's Classification of Educational Objectives Based on Deep Learning Theory Teaching Design of Nursing Specialty.

Through the effective integration of various teaching resources, carry out the teaching design of "basic nursing technology" for the nursing specialty...

Academic self-concept mediates the effect of online learning engagement on deep learning in online courses for Chinese nursing students: A cross-sectional study.

BACKGROUND: Online learning is prevalent among nursing students, but the effect of online learning seems not as good as expected. Deep learning, as a ...

Proceedings from the Society of Interventional Radiology Foundation Research Consensus Panel on Artificial Intelligence in Interventional Radiology: From Code to Bedside.

Artificial intelligence (AI)-based technologies are the most rapidly growing field of innovation in healthcare with the promise to achieve substantial...

Artificial intelligence (AI) versus expert: A comparison of left ventricular outflow tract velocity time integral (LVOT-VTI) assessment between ICU doctors and an AI tool.

PURPOSE: The application of point of care ultrasound (PoCUS) in medical education is a relatively new course. There are still great differences in the...