Latest AI and machine learning research in public health & policy for healthcare professionals.
Slips, trips, and falls (STFs) are a major occupational hazard that contributes significantly to wor...
Epidemiologists often handle large datasets with numerous variables and are currently seeing a growi...
Predicting major bleeding in nonvalvular atrial fibrillation (AF) patients on direct oral anticoagul...
Stroke is a significant health concern in China. Differences in stroke risk between rural and urban ...
OBJECTIVE: AIDS is a highly fatal infectious disease of Class B, and Xinjiang is a high-incidence re...
OBJECTIVE: To determine whether high-deductible health plans (HDHPs) are associated with complicated...
Suicide is among the leading causes of death worldwide and a concerning public health problem, accou...
BACKGROUND: Staphylococcus aureus bacteremia (SAB) remains a significant contributor to both communi...
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 increasing prevalence of environmental pollutants has raised public concern about their potentia...
Pancreatic ductal adenocarcinoma (PDAC) is frequently diagnosed in its late stages when treatment op...
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...
Recent advancements in machine learning (ML) for analyzing heterogeneous treatment effects (HTE) are...
Forecasting the occurrence and absence of novel disease outbreaks is essential for disease managemen...