Latest AI and machine learning research in surveillance for healthcare professionals.
BACKGROUND: The paper introduces a deep learning-based approach for real-time detection and insights...
Novelty detection allows robots to recognise unexpected data in their sensory field and can thus be ...
: To address the question of whether antibiotic therapy can obviate the need for prostate biopsy (PB...
The purpose of this descriptive research paper is to initiate discussions on the use of innovative t...
Background Men suspected of having clinically significant prostate cancer (sPC) increasingly undergo...
Machine learning approaches to modeling of epidemiologic data are becoming increasingly more prevale...
OBJECTIVE: The Centers for Disease Control and Prevention (CDC) coordinates a labor-intensive proces...
Previously, symmetry of network models has been proposed to account for interocular grouping during ...
Sub-clinical bovine mastitis decreases milk quality and production. Moreover, sub-clinical mastitis ...
BACKGROUND: In 2015, the Zika virus spread from Brazil throughout the Americas, posing an unpreceden...
Investments in biosecurity practices are made by producers to reduce the likelihood of introducing p...
Influenza A viruses are one of the most significant viral groups globally with substantial impacts o...
This paper applies Machine Learning (ML) algorithms to peer-reviewed publications in order to discer...
OBJECTIVES: To provide an oveiview of the current application of artificial intelligence (AI) in the...
OBJECTIVES: To introduce and summarize current research in the field of Public Health and Epidemiolo...
Diabetes is a global public health disease projected to affect 642 million adults by 2040, with abou...
BACKGROUND: Mortality surveillance is of fundamental importance to public health surveillance. The r...
BACKGROUND: The use of linked data in the Semantic Web is a promising approach to add value to nutri...
Background Risk stratification systems for thyroid nodules are often complicated and affected by low...
The way we categorise and classify cancer types dictates not only the way we diagnose and treat pati...
In this paper, we give an overview of methodological issues related to the use of statistical learni...