Latest AI and machine learning research in public health & policy for healthcare professionals.
BACKGROUND: Ischemic heart disease and metabolic dysfunction-associated steatotic liver disease represent significant global health challenges, characterized by overlapping pathophysiological mechanisms. A comprehensive understanding of their spatial co-occurrence, common risk factors, and disparities in health care quality is essential for the development of integrated prevention and treatment st...
INTRODUCTION: Multidrug-resistant organisms, including carbapenem-resistant Gram-negative bacilli (CRGNB), have a heavy health and economic burden in healthcare settings. Assessing the costs and clinical impact of infection prevention and control (IPC) measures targeted at CRGNB is essential to determine their cost-effectiveness and guide the allocation of limited resources. Systematic reviews of ...
Objective: To systematically summarize and evaluate the current application status and research progress of artificial intelligence (AI) in cervical c...
BACKGROUND: Fatal and non-fatal drug overdoses have evolved into a critical public health crisis, with over a 50% increase in the rate of fatal drug o...
BACKGROUND: Intimate partner violence (IPV) remains a major global public health and humanrights challenge, with a disproportionate burden in sub-Saha...
OBJECTIVES: Accurate prediction models for imported infectious diseases are essential for early warning, cross-border surveillance, and resource alloc...
BACKGROUND: Klebsiella pneumoniae complex (Kp) is a relevant neonatal pathogen colonizing preterm infants. While outbreak investigations often focus o...
OBJECTIVE: Given China's rapid population ageing and substantial stroke burden, understanding the epidemiology of vascular cognitive impairment (VCI) ...
INTRODUCTION: Premature mortality (PM) is a concept applied in public health, epidemiology, medicine, demography and economics. Its conceptualisations...
Non-communicable diseases (NCDs) account for ~71% of all deaths globally, including 15 million premature deaths each year (deaths between 30-69 years ...
BACKGROUND: Conversational AI offers scalable mental health support, with large language models (LLMs) enabling personalized interactions. Human-cente...
Chronic hepatitis B remains a major global health challenge despite the advances in antiviral therapy. Although hepatitis B surface antigen (HBsAg) se...
Accurate prediction of daily mortality is vital for effective early warning systems and the strategic allocation of medical resources, particularly gi...
Lynch syndrome (LS) is the most common hereditary colorectal cancer (CRC) syndrome and is characterized by an accelerated adenoma-carcinoma sequence, ...
Artificial intelligence (AI) is reshaping medicine, promising advances in diagnosis, monitoring, and treatment, and psychiatry will be no exception. Y...
BACKGROUND: The rapid rise of artificial intelligence-based contactless sensors (AI-CS) is expected to significantly transform how patients are measur...
BACKGROUND: Victims of child physical abuse (CPA) disproportionately use the emergency department, yet identifying CPA remains challenging in this set...
Accurate influenza forecasting is critical for timely public health responses and resource allocation. To address challenges such as strong non-statio...
Stroke is a leading cause of mortality worldwide, with hypertension being its most significant risk factor. However, few studies have specifically dev...
Hyperglycemia is a major risk factor for chronic kidney disease (CKD). This multicenter prospective study developed and validated a machine learning (...