Latest AI and machine learning research in public health & policy for healthcare professionals.
Nearly a decade into Defra's current eradication strategy, bovine tuberculosis (bTB) remains a serious animal health problem in England, with c.30,000 cattle slaughtered annually in the fight against this insidious disease. There is an urgent need to improve our understanding of bTB risk in order to enhance the current disease control policy. Machine learning approaches applied to big datasets off...
OBJECTIVE: Viruses on environmental surfaces, in saliva and other body fluids represent risk of contamination for general population and healthcare professionals. The development of vaccines and medicines is costly and time consuming. Thus, the development of novel materials and technologies to decrease viral availability, viability, infectivity, and to improve therapeutic outcomes can positively ...
PURPOSE: Recently, the outbreak of the novel coronavirus disease 2019 (COVID-19) pandemic has seriously endangered human health and life. In fighting ...
Precise characterization and analysis of anterior chamber angle (ACA) are of great importance in facilitating clinical examination and diagnosis of an...
The capability of sensors to identify individuals in a specific scenario is a topic of high relevance for sensitive sectors such as public security. A...
There is a growing interest in using machine learning algorithms to support surgical care, diagnostics, and public health surveillance in low- and mid...
Artificial intelligence (AI) plays a major role in addressing novel coronavirus 2019 (COVID-19)-related issues and is also used in computer-aided synt...
The robotic system has overcome some laparoscopic shortcomings, such as stereoscopic 3D-magnified vision, a stable camera and flexible and tremor filt...
BACKGROUND: Common infections of the skin such as impetigo and scabies represent a large burden of disease globally, being particularly prevalent in t...
According to the World Health Organization, about 20 million people are infected with Hepatitis E every year. In 2015, there were 44,000 deaths due to...
This study aimed to evaluate the effect of an artificial intelligence (AI) support system on breast ultrasound diagnostic accuracy.In this Health Insu...
BACKGROUND: The successful determination and analysis of phenotypes plays a key role in the diagnostic process, the evaluation of risk factors and the...
The clinical severity, rapid transmission and human losses due to coronavirus disease 2019 (Covid-19) have led the World Health Organization to declar...
Collecting valid information from electronic sources to detect the potential outbreak of infectious disease is time-consuming and labor-intensive. The...
Deep learning is a powerful approach for distinguishing classes of images, and there is a growing interest in applying these methods to delimit specie...
Since the epidemic outbreak in early months of 2020 the spread of COVID-19 has grown rapidly in most countries and regions across the World. Because o...
Pandemic defines the global outbreak of a disease having a high transmission rate. The impact of a pandemic situation can be lessened by restricting t...
The prevention of suicide and suicide-related behaviour are key policy priorities in Australia and internationally. The World Health Organization has ...
AI-driven digital health tools often rely on estimates of disease incidence or prevalence, but obtaining these estimates is costly and time-consuming...
Social media has become a popular source for online news consumption with millions of users worldwide. However, it has become a primary platform for s...