Latest AI and machine learning research in nursing for healthcare professionals.
BACKGROUND: Medical decision-making impacts both individual and public health. Clinical scores are commonly used among various decision-making models to determine the degree of disease deterioration at the bedside. AutoScore was proposed as a useful clinical score generator based on machine learning and a generalized linear model. However, its current framework still leaves room for improvement wh...
INTRODUCTION: Population ageing, the rise of chronic diseases and the emergence of new viruses are some of the factors that contribute to an increasing share of gross domestic product dedicated to health spending. COVID-19 has shown that nursing staff represents the critical part of hospitalisation. Technological developments in robotics and artificial intelligence can significantly reduce costs a...
With the development of artificial intelligence technology in the medical field, clinical trials using artificial intelligence as an intervention meth...
Asthma in children has a long duration and is prone to recurring attacks. Children will feel chest tightness, shortness of breath, cough, and difficul...
Background and objectives: This study aimed to evaluate the association between warm ischemic time (WIT) and postoperative renal function using Trifec...
The objective of this study was to evaluate the application value of "Internet + hospital-to-home (H2H)" nutritional care model using the improved wav...
In this study we measure and map the system-wide spatial accessibility to good quality nursing home care for all counties in the contiguous United Sta...
The dataset presented in this paper presents a dataset related to three motionless activities, including driving, watching TV, and sleeping. During th...
The long-term use of transfer support robots in nursing facilities is an important option for improving the efficiency of care work. The "Resyone" tra...
Plaque is a bacterial biofilm that adheres to each other and exists on the tooth surface, and new plaque can continuously reform after removing it fro...
This study was aimed at exploring the application value of three-dimensional (3D) ultrasound based on deep learning and continued nursing health monit...
Neonatology has experienced a significant reduction in mortality rates of the preterm population and critically ill infants over the last few decades....
The preoperative qualitative and hierarchical diagnosis of intervertebral foramen stenosis is very important for clinicians to explore the effect of m...
In order to explore the application of intelligent intravenous drug dispensing robot in clinical nursing, the efficiency, residual amount, needle push...
This study was aimed to explore the application of cardiac magnetic resonance imaging (MRI) image segmentation model based on U-Net in the diagnosis o...
This study was aimed at exploring the effect of ultrasound image evaluation of comprehensive nursing scheme based on artificial intelligence algorithm...
Of the most popular applications of artificial intelligence (AI), those used in the health sector are the ones that represent the largest proportion, ...
To explore the application value of accelerated rehabilitation surgery (ERAS) nursing in laparoscopic total hysterectomy, 120 patients who underwent l...