Latest AI and machine learning research in surveillance for healthcare professionals.
There is clear evidence to suggest that diabetes does not affect all populations equally. Among adul...
Human mobility is a primary driver of infectious disease spread. However, existing data is limited i...
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that has spread rapidly since Dece...
BACKGROUND: Accurate prognostication is crucial in treatment decisions made for men diagnosed with n...
Smart healthcare has been applied in many fields such as disease surveillance and telemedicine, etc....
Estimation of the epidemiology curve for the COVID-19 pandemic can be a very computationally challen...
Artificial intelligence (AI) as a branch of computer science, the purpose of which is to imitate tho...
BACKGROUND & OBJECTIVE: Mathematical modeling is the most scientific technique to understand the evo...
A major limitation of screening breast ultrasound (US) is a substantial number of false-positive bio...
The prevention of suicide and suicide-related behaviour are key policy priorities in Australia and i...
Persons who inject drugs (PWID) are at increased risk for overdose death (ODD), infections with HIV,...
The SARS-CoV-2 virus causing COVID-19 is spread in sewage by the stool of infected individuals, and ...
According to the World Health Organization (WHO), around 60% of all outbreaks are detected using inf...
We developed a machine learning model for efficient analysis of echocardiographic image quality in h...
Hepatitis B virus (HBV) infects the liver, causing cirrhosis and cancer. In developed countries, fiv...
BACKGROUND: Creating an ontology for COVID-19 surveillance should help ensure transparency and consi...
BACKGROUND: An artificial intelligence (AI) algorithm applied to electrocardiography during sinus rh...
INTRODUCTION: Studies addressing the development and/or validation of diagnostic and prognostic pred...
In recent decades, the global incidence of dengue has increased. Affected countries have responded w...
The rapidly growing use of artificial intelligence in pathology presents a challenge in terms of stu...
OBJECTIVE: To determine how machine learning has been applied to prediction applications in populati...