Latest AI and machine learning research in infection control for healthcare professionals.
Hospitals provide direct and indirect employment benefits to medical professionals. Accidents in hospitals often lead to disastrous consequences such as fatalities, property damage and economic losses. It is, therefore, imperative to have an occupational health and safety (OHS) policy that aims to reduce work-related accidents to acceptable levels. This study aims to investigate health risks to s...
The emergency department (ED) plays a very significant role in the hospital. Owing to the rising number of ED visits, medical service points, and ED market, overcrowding of EDs has become serious worldwide. Overcrowding has long been recognized as a vital issue that increases the risk to patients and negative emotions of medical personnel and impacts hospital cost management. For the past years, m...
Surgical site infections (SSIs) have a major role in the evolution of medical care. Despite centuries of medical progress, the management of surgical...
To study the effect of computerized tomography (CT) images based on deep learning algorithms on the diagnosis of pulmonary nodules and the effect of r...
This study was aimed at investigating the ultrasound based on deep learning algorithm to evaluate the rehabilitation effect of transumbilical laparosc...
Based on the development background of the interweaving and integration of computer technology and Internet technology, China's artificial intelligenc...
Under the background of artificial intelligence (AI), a human resource information management system was designed to facilitate hospital human resourc...
This study was performed to prospectively compare the clinical and radiographic outcomes between robot-assisted minimally invasive transforaminal lumb...
Medical equipment maintenance in modern hospital management is an emerging marginal discipline which is one of the important branches of hospital mana...
Since the transition of surgical robot systems into the medical field, physicians have had to develop new dexterity skills. The ideal learning enviro...
In order to effectively improve the efficiency of hospital public management, we designed a hospital management index system based on deep learning mo...
In order to explore the construction and implementation effect of a procedural nursing system for laparoscopic surgery in general surgery based on dee...
Although ultrasound plays an important role in the diagnosis of chronic kidney disease (CKD), image interpretation requires extensive training. High o...
INTRODUCTION: Most hospital assessment systems are based on the study of objective statistical variables as well as patient opinions on their experien...
In order to analyze the application of ultrasonic lung imaging diagnosis model based on artificial intelligence algorithm in neonatal respiratory dist...
The objective of this study was to evaluate the application value of "Internet + hospital-to-home (H2H)" nutritional care model using the improved wav...
(1) Background: The purpose of this study was to evaluate the efficacy in terms of sensitivity, specificity, and accuracy of the quantusSKIN system, a...
Currently, robotic-assisted coronary artery bypass grafting (RACABG) is a feasible choice for myocardial revascularization. Acceptable outcomes have b...
The preoperative qualitative and hierarchical diagnosis of intervertebral foramen stenosis is very important for clinicians to explore the effect of m...
To explore the application value of accelerated rehabilitation surgery (ERAS) nursing in laparoscopic total hysterectomy, 120 patients who underwent l...