Latest AI and machine learning research in public health for healthcare professionals.
Leprosy remains a neglected tropical disease with active transmission. Predictive models improve understanding of epidemiological trends and support control strategies in endemic contexts. This study analyzed leprosy in Brazil between 2001 and 2024, projecting scenarios through 2034. Data were obtained from the National System of Notifiable Diseases, and population estimates were from the Brazilia...
BACKGROUND: Central line-associated blood stream infection (CLABSI) surveillance is mandated and publicly reported in United States hospitals but requires manual chart review. Generative artificial intelligence (AI) may facilitate CLABSI identification. METHODS: We performed a retrospective cohort study of CLABSI surveillance using standardized prompts, clinical data, and Centers for Disease Contr...
Despite the reduced impact of COVID-19 due to widespread vaccination and improved treatments, a critical need remains for accessible, scalable, and ra...
OBJECTIVES: This study aimed to develop an effective model for predicting Hodgkin lymphoma (HL) prognosis as to assist clinicians in making optimal cl...
OBJECTIVES: Globally, dental reforms have gained momentum through enhanced policy dialogues, the rise of digital health, artificial intelligence and o...
The development of Artificial Intelligence (AI) is rapidly advancing, and AI tools are being integrated into many aspects of daily life, including med...
Mosquito-borne diseases remain a major global health challenge, disproportionately impacting low- and middle-income countries. Despite traditional con...
INTRODUCTION: Multidrug-resistant organisms, including carbapenem-resistant Gram-negative bacilli (CRGNB), have a heavy health and economic burden in ...
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...
In adjuvant research, which has long relied on experience and trial and error, advancements in technologies in broad areas, including artificial intel...
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...
Developing an effective malaria vaccine is challenging because Plasmodium parasites use complex strategies to invade host cells. The blood stage, wher...
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, ...
BACKGROUND: The rapid rise of artificial intelligence-based contactless sensors (AI-CS) is expected to significantly transform how patients are measur...