Latest AI and machine learning research in public health & policy for healthcare professionals.
BACKGROUND: Dengue fever remains a critical public health challenge in Thailand, with transmission dynamics driven by complex interactions between environmental and socioeconomic factors. Understanding these predictive factors is essential for developing robust forecasting systems. METHODS: We developed a machine learning framework to classify spatiotemporal dengue risk and identify key predictive...
Particulate matter (PM) is known to accelerate atherosclerosis through systemic inflammation, yet its specific impact on local coronary inflammation remains poorly understood. This large-scale retrospective cohort study investigated the long-term effects of PM exposure on coronary inflammation as assessed by the pericoronary fat attenuation index (FAI). We analyzed 5,528 participants undergoing co...
OBJECTIVES: To map the available evidence on the use of health databases for the early identification of autism spectrum disorder (ASD) across diverse...
Although the complications of complex total hip arthroplasty (THA) are decreasing with the progress of surgical technology, it is still a difficult cl...
PURPOSE: Africa is entering a new era of cancer research, driven by renewed commitments to genomic innovation, data equity, and strengthened cancer re...
Snakebite is a serious public health issue that causes a significant amount of morbidity and mortality. This has led the World Health Organization (WH...
BACKGROUND AND AIMS: Pharmacists play a key role in managing and mitigating mpox through clinical care, pharmacovigilance, vaccine management, and res...
Acute respiratory infections (ARIs) are characterized by high morbidity, strong transmissibility, and non-specific clinical manifestations, posing sub...
UNLABELLED: Norovirus is a leading cause of acute gastroenteritis worldwide due to its high contagiousness, widespread transmission, and the lack of t...
Femicide is a pervasive and structurally rooted form of violence, yet it remains significantly underexplored using quantitative and computational appr...
Generative artificial intelligence (GenAI) chatbots are increasingly used for second language (L2) speaking practice, yet learners' willingness to com...
Cancer management remains fragmented across its continuum, from late-stage diagnosis and salvage therapies to non-personalized surveillance. Here, we ...
Laboratory medicine is undergoing a profound transformation driven by advances in artificial intelligence (AI), automation, and data interoperability....
The proliferation of hospital surveillance data in China has not been matched by publicly available, machine-readable datasets suitable for artificial...
The significant risks posed by per- and polyfluoroalkyl substances (PFAS) to water quality and public health have attracted increasing attention as a ...
BACKGROUND: Older adults with metabolic dysfunction-associated steatotic liver disease have elevated cardiovascular disease (CVD) risk, yet convention...
OBJECTIVES: Tobacco consumption, combined with individual genetic predispositions, contributes to an age-dependent risk not only for lung cancer but a...
Monoclonal gammopathy of undetermined significance is a common precursor of multiple myeloma, yet its prevalence and clinical distribution remain poor...
This investigation compares the analytical performance of logistic regression (LR) and targeted maximum likelihood estimation (TMLE) methodologies for...
Traumatic brain injury (TBI) is a major cause of disability and socioeconomic burden worldwide. Using updated Global Burden of Disease Study 2021 esti...