Latest AI and machine learning research in public health & policy for healthcare professionals.
With the rapid adoption of generative AI, synthetic medical images pose growing risks, including dia...
Genomic epidemiology workflows typically require expert curation of multiple specialized tools, exte...
Mosquito-borne diseases represent an escalating global health threat, driven by climate change, urba...
Background Anthropometric measures do not adequately capture heterogeneity in body fat distribution ...
Abstract BACKGROUND West Nile virus (WNV) is a growing health burden in Italy. Anticipating human in...
Seasonal influenza A evolves rapidly, allowing newly emerged clades to replace previously dominant l...
Idling Vehicle Detection (IVD) seeks to determine, at the final frame of a video clip, whether any v...
Road traffic accidents remain a critical global crisis, consistently serving as a primary driver of ...
Background: Calcium oxalate nephrolithiasis is the most common type of kidney stone disease. Dietary...
Background: Children and young people (CYP) are particularly affected by mental health problems. Mob...
Abstract Purpose Radiologic surveillance is essential for oropharyngeal cancer (OPC) survivors, guid...
Delirium is a common and serious complication in the Intensive Care Unit (ICU), associated with incr...
Infectious disease transmission evolves as a dynamic process shaped by biological mechanisms, popula...
BackgroundAccess to high-quality clinical data is essential for advancing medical research and devel...
Objective: Observational studies are essential for investigating risk factors for Alzheimer's diseas...
Psychosis prevention relies on early detection of individuals at clinical high risk for psychosis (C...
Abstract Purpose: Brain metastases (BM) far exceed primary CNS tumours and constitute the majority w...
Background: Cardiovascular diseases (CVD) remain the leading global cause of mortality, responsible ...
We develop a statistical learning theory for gradient boosting applied to the estimation of covariat...
In intelligent video surveillance, cameras record image sequences during day and night. Commonly, th...
Vehicle color recognition is an important cue for vehicle identification in surveillance systems, es...