Latest AI and machine learning research in public health & policy for healthcare professionals.
BACKGROUND: The global mental health crisis has created barriers to youth mental healthcare, leaving...
BACKGROUND: In March 2022, a new outbreak of COVID-19 emerged in Quanzhou, leading to the implementa...
The escalating demand for chronic disease management has presented substantial challenges to traditi...
Pancreatic ductal adenocarcinoma (PDAC) is frequently diagnosed in its late stages when treatment op...
The increasing prevalence of environmental pollutants has raised public concern about their potentia...
INTRODUCTION: Suicide is a significant public health problem, with increased rates in low- and middl...
Greater than 650 million individuals worldwide are categorized as obese, which is associated with si...
Infectious disease threats to individual and public health are numerous, varied and frequently unexp...
This study examined mental health disparities among African Americans using AI and machine learning ...
PURPOSE OF REVIEW: This review provides a critical analysis of recent advancements in active surveil...
BACKGROUND: Anterior, Oblique, and Lateral Lumbar Interbody Fusions (ALIF/OLIF/LLIF) are powerful mo...
BACKGROUND: Wrong-site surgery (WSS) is a critical but preventable medical error, often resulting in...
Forecasting the occurrence and absence of novel disease outbreaks is essential for disease managemen...
Recent advancements in machine learning (ML) for analyzing heterogeneous treatment effects (HTE) are...
OBJECTIVE: Lyme disease is a vector-borne emerging zoonosis in Ontario driven by human population gr...
Medical image segmentation plays a crucial role in addressing emerging healthcare challenges. Althou...
Wearable devices with continuous monitoring capabilities are critical for the daily detection of epi...
The detection and identification of polycyclic aromatic hydrocarbons (PAHs) and their derivatives, p...
Accurate detection and prevalence estimation of behavioral health conditions, such as opioid use dis...
Accurate, real-time forecasts of influenza hospitalizations would facilitate prospective resource al...
OBJECTIVE: To develop models for prediction of the onset of specific diseases in cats using pet insu...