Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
OBJECTIVES: While the development of artificial intelligence (AI) and virtual reality (VR) technologies in medicine has been significant, their application to doctor-patient communication is limited. As communicating risk is a challenging, yet essential, component of shared decision-making (SDM) in surgery, this review aims to explore the current use of AI and VR in doctor-patient surgical risk co...
In this study, the general structure of swarm robotics is examined. Algorithms inspired by nature, which form the basis of swarm robotics, are introduced. Communication topologies in robotic swarms, which are similar to the communication methods between living things moving in nature, are included and how these can be used in swarm communication is emphasized. With the developed algorithms, how th...
With the continuous deepening of artificial intelligence (AI) in the medical field, the social risks brought by the development and application of med...
With the rapid development of Chinese society and economy as well as the deepening of the reform of the higher education management system and the cha...
Momentous increase in the popularity of explainable machine learning models coupled with the dramatic increase in the use of synthetic data facilitate...
Falls are a leading cause of death in adults 65 and older. Recent efforts to restore lower-limb function in these populations have seen an increase in...
A topologically based neural network algorithm is used to conduct an in-depth study and analysis of domino accident risk data in chemical parks, and t...
(1) Backgroud: For future national digital healthcare policy development, it is vital to collect baseline data on the infrastructure and services of m...
Macroscopic oscillations in the brain have been observed to be involved in many cognitive tasks but their role is not completely understood. One of th...
Over the past couple of decades, many telecommunication industries have passed through the different facets of the digital revolution by integrating a...
BACKGROUND: Due to the similar symptoms of upper airway obstruction to asthma, misdiagnosis is common. Spirometry is a cost-effective screening test f...
Cross-media visual communication is an extremely complex task. In order to solve the problem of segmentation of visual foreground and background, impr...
The fast development of image recognition and information technology has influenced people's life and industry management mode not only in some common...
Fully insertable robotic imaging devices represent a promising future of minimally invasive laparoscopic vision. Emerging research efforts in this fie...
Use of artificial intelligence (AI) is a burgeoning field in otolaryngology and the communication sciences. A virtual symposium on the topic was conve...
Federated learning is a privacy-preserving machine learning technique to train intelligent models from decentralized data, which enables exploiting pr...
Recently, the frequent occurrence of the misuse and intrusion of UAVs has made it a research challenge to identify and detect them effectively, and re...
Hypertensive patients account for about 16% to 37% of the global population, and about 9.4 million people die each year from hypertension and its comp...
Secure messaging (SM), asynchronous communication between patients and clinicians, is an increasingly popular tool among patients to contact clinician...
Coronavirus born COVID-19 disease has spread its roots in the whole world. It is primarily spread by physical contact. As a preventive measure, proper...