Latest AI and machine learning research in public health for healthcare professionals.
Background Limited data are available regarding the accuracy of artificial intelligence (AI) algorit...
Hospital-acquired infections (HAIs) significantly burden global healthcare systems, exacerbated by a...
The practice of pharmacovigilance relies on large databases of individual case safety reports to d...
In this paper, we present a simple method to integrate risk-contact data, obtained via digital con...
Small object detection (SOD) is a critical yet challenging task in computer vision, with applicati...
The aim of this study was to devise a machine learning algorithm with superior performance in predic...
This research paper presents an innovative ship detection system tailored for applications like ma...
Effective epidemic modeling is essential for managing public health crises, requiring robust metho...
Coronaviruses, including SARS-CoV-2, are responsible for COVID-19, a highly transmissible disease ...
The increasing frequency of firearm-related incidents has necessitated advancements in security an...
Vision Language Models (VLMs) have demonstrated impressive inference capabilities, but remain vuln...
Foodborne gastrointestinal (GI) illness is a common cause of ill health in the UK. However, many c...
Recent advancements in Large Language Models (LLMs) have significantly improved text generation ca...
Background: Multiple medical and non-medical stressors, along with the complicity of their exposur...
Diabetes is a prevalent chronic disease with significant health and economic burdens worldwide. Ea...
The COVID-19 pandemic has profoundly affected the normal course of life -- from lock-downs and vir...
Image restoration under adverse weather conditions refers to the process of removing degradation c...
One of the basic requirements of humans is clothing and this approach aims to identify the garment...
BACKGROUND: International Classification of Disease (ICD) codes can accurately identify patients wit...
Infectious diseases caused by pathogens resistant to antimicrobial treatments, defined as antimicrob...
The test-negative design (TND), which is routinely used for monitoring seasonal flu vaccine effectiv...