Latest AI and machine learning research in public health & policy for healthcare professionals.
Estimating the level of earthquake-induced liquefaction settlements in shallow foundations is essential for assessing seismic risk and designing effective soil improvement strategies. Reliable predicting methods of vertical deformations and tilting in buildings founded on shallow liquefiable soils enable the development of seismic-resilient and cost-effective foundation solutions while supporting ...
The exponential growth of video data from surveillance and online platforms has heightened the demand for intelligent, explainable systems capable of detecting violence in real time. This study proposes a novel Explainable Attention-Enhanced Convolutional Neural Network (CNN) framework that integrates unsupervised keyframe selection, attention-driven feature learning, and Grad-CAM++-based interpre...
BACKGROUND: Cardiovascular disease constitutes the most formidable public health challenge in China, accounting for 48.98% and 47.35% of mortality in ...
BACKGROUND: Alcoholic cardiomyopathy (ACM) is a major cause of cardiovascular morbidity and mortality, characterized by ventricular dilation and impai...
Respiratory diseases are increasingly influenced by meteorological variability, yet few studies have applied high-resolution environmental data and ad...
AIM: To compare healthcare utilization and spending among women enrolled in an employer-sponsored, artificial intelligence (AI) structured pelvic care...
BACKGROUND: The human microbiome has been linked to host health and is suggested to play a direct role in the onset of certain human diseases, as well...
Timely access to reliable public health data is a critical determinant of effective response to health emergencies, including disease outbreaks, clima...
OBJECTIVES: Lung cancer is the leading cause of cancer-related mortality worldwide, with poor prognosis largely due to late-stage diagnosis. Current s...
Hypertension is the second leading cause of heart failure (HF), yet strategies for identifying hypertensive individuals at increased HF risk remain li...
The globally distributed zoonotic protozoan parasite Toxoplasma gondii presents escalating conservation and public health challenges through expanding...
Problematic use of social media (PUSM) is a major public health concern estimated to affect 35% of adolescents. However, data-driven research to ident...
The malnutrition-based chronic disease (MBCD) model for use in adults to optimize nutrition care is a framework based on epidemiological classifiers, ...
Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide, with approximately 25-30 % of cases exhibiting a familial compo...
BACKGROUND: Prostate cancer (PCa) is one of the most common cancer in men worldwide, while numerous scientific achievements have been made in research...
Artificial intelligence (AI) is rapidly reshaping the landscape of health care, from clinical diagnostics and disease surveillance to the prediction o...
BACKGROUND: Traditional cognitive screening relies on episodic clinical assessments and may miss early changes preceding cognitive impairment and deme...
BACKGROUND: Chronic psychosocial stress induces cumulative physiological dysregulation that accelerates biological aging and contributes to the develo...
INTRODUCTION: Multiple screen addiction is a growing public health problem, especially among young people. Early detection and classification of scree...
In every breathless conversation about artificial intelligence (AI), this technology has been heralded as a revolutionary force that will save healthc...