Latest AI and machine learning research in nursing for healthcare professionals.
The use of robotic and technical systems for early mobilization of intensive care patients: A scoping review Intensive care patients are often subjected to immobility for too long. However, when they are mobilized early, positive effects on patient outcomes, such as improvement in physical function, can be demonstrated. One of the reasons for rare mobilization is that too less therapeutic equipm...
AIM: Due to the COVID pandemic and technological innovation, robots gain increasing role in nursing services. While studies investigated negative attitudes of nurses towards robots, we lack an understanding of nurses' preferences about robot characteristics. Our aim was to explore how key robot features compare when weighed together.
We sought to describe the development of the robotic urology program at Sindh Institute of Urology and Transplantation (SIUT) and the feasibility of t...
BACKGROUND: The twenty first- century marked the exponential growth in the use of intelligent robots and artificial intelligent in nursing compared to...
This aim of this research was to explore the evaluation and prediction value of diffusion-weighted imaging (DWI) under artificial intelligence algorit...
This research was aimed to study the application value of the magnetic resonance imaging (MRI) diagnosis under artificial intelligence algorithms and ...
OBJECTIVES: Owing to the rapid progress of natural language processing (NLP), the role of NLP in the medical field has radically gained considerable a...
OBJECTIVES: The objective of this paper is to draw attention to the currently underused potential of clinical documentation by nursing and allied heal...
BACKGROUND: Pet robots have been employed as viable substitutes to pet therapy in nursing homes. Despite their potential to enhance the psychosocial h...
With the development of my country's economy and society and the improvement of civilization, the silver wave has gradually come. The country has laun...
OBJECTIVE: To develop a deep learning-assisted recovery and nursing system after total hip arthroplasty and to conduct clinical trials in order to ver...
Manual patient handling is one of the most significant challenges leading to musculoskeletal burden among healthcare workers. Traditional working tech...
AIM: This research was planned to identify nurse managers' opinions on artificial intelligence and robot nurses.
This paper deals with a critical examination on the possibility of quantitatively predicting the in vivo activity of new chemical entities (NCEs) by m...
In order to explore the construction and implementation effect of a procedural nursing system for laparoscopic surgery in general surgery based on dee...
The study focused on the diagnostic value of deep learning-based ultrasound combined with gastroscope examination for upper gastrointestinal submucous...
Neurosurgery is mainly for the treatment of head trauma, cerebrovascular disease, brain tumors, and spinal cord disorders. These operations are diffic...
BACKGROUND: Robotic neurosurgery may improve the accuracy, speed, and availability of stereotactic procedures. We recently developed a computer vision...
The COVID-19 pandemic repeatedly overwhelms healthcare systems capacity and forced the development and implementation of triage guidelines in ICU for ...
BACKGROUND: Nurses record data in electronic health records (EHRs) using different terminologies and coding systems. The purpose of this study was to ...