Latest AI and machine learning research in public health & policy for healthcare professionals.
Accurate prediction of pediatric epidemic infectious diseases is critical for effective prevention a...
BACKGROUND: Artificial intelligence (AI)-based algorithms are being implemented in breast screening ...
Given the conceptual issues involved in defining and measuring recovery and accordingly substance us...
Mexico is facing an increasingly challenging health scenario, marked by the resurgence of emerging a...
BACKGROUND: China is undergoing a rapid nutritional and epidemiological transition. Traditional epid...
Pedestrian walking constitutes an indispensable mode of daily travel, yet recurrent high-density cro...
BACKGROUND: Sociodemographic factors influence the outcomes of prostate cancer (PCa); however, they ...
BACKGROUND: Artificial neural networks (ANNs) are increasingly applied in health care outcome predic...
BACKGROUND: Public health resources are often allocated based on reported disease cases. However, fo...
BACKGROUND: During the global COVID-19 pandemic (2020-2021), excess mortality varied substantially a...
BACKGROUND: Type 2 diabetes mellitus (T2DM) substantially increases the risk of macrovascular compli...
The transition to a circular economy (CE) is a critical strategy for improving the sustainability an...
Applications of data science and artificial intelligence (AI) in global health are expanding, yet re...
The BETTER4U project (Preventing Obesity through Biologically and bEhaviorally Tailored inTERvention...
Pregnant women and children have been underrepresented in clinical studies due to ethical concerns a...
Inactive adults face a measurable risk of chronic Achilles tendon injury when starting to run, yet t...
The Association of Southeast Asian Nations (ASEAN) region saw an increase in alcohol-attributable de...
Artificial intelligence (AI) systems are increasingly integrated into clinical practice, where they ...
Fetal and neonatal alloimmune thrombocytopenia (FNAIT) is a major cause of severe thrombocytopenia, ...
Vibrio vulnificus poses a growing public health risk in the brackish Baltic Sea, where rising summer...
PURPOSE OF REVIEW: Machine learning predictive modeling can support scalable prevention of suicide-r...