Latest AI and machine learning research in surveillance for healthcare professionals.
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...
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...
Use of machine learning (ML) in clinical research is growing steadily given the increasing availabil...
In the early months of the COVID-19 pandemic with no designated cure or vaccine, the only way to bre...
PURPOSE: The Vesical Imaging Reporting and Data System (VI-RADS) was launched in 2018 to standardize...
In recent years, there has been a dramatic increase in research papers about machine learning (ML) a...
IMPORTANCE: Adherence to the Consolidated Standards of Reporting Trials (CONSORT) for randomized cli...
It is important that antibiotics prescriptions are based on antimicrobial susceptibility data to ens...