Latest AI and machine learning research in public health for healthcare professionals.
Introduction. Misinformation is a barrier to immunization. The objective was to describe and categorize vaccine-related myths reported by healthcare professionals (HCPs). Population and methods. A descriptive, retrospective study was conducted using a survey administered during registration for a vaccine symposium, in which HCPs were invited to identify myths they had encountered in their practice...
Rapid and effective decision-making is critical in public health emergencies, where resource allocation must balance multiple objectives under uncertain conditions. Traditional optimization methods often struggle with computational complexity and real-time, heterogeneous data. To address these challenges, we propose a hybrid intelligent agent combining an enhanced Double Deep Q-Network (D2QN-JDA) ...
Event-based surveillance systems have proven critical for early detection of disease outbreaks by analyzing informal data sources, and the integration...
IMPORTANCE: Depression most commonly first emerges during adolescence, making early prevention critical. While school-based mindfulness training (SBMT...
BACKGROUND: The convergence of digital health and One Health represents an emergent paradigm in global health governance. While widely discussed in hi...
BACKGROUND: The growing use of artificial intelligence (AI) chatbots for seeking health-related information is concerning, as they were not originally...
Many non-model rodent species are inaccessible to genetic engineering due to our limited understanding of their reproductive biology. Here, we present...
BACKGROUND: Early detection of hepatocellular carcinoma (HCC) remains a significant clinical challenge due to the limited sensitivity of current surve...
BACKGROUND: The 2025 American Thyroid Association guidelines recommend total thyroidectomy for all T3b differentiated thyroid carcinoma (DTC). However...
Artificial intelligence (AI) has become an increasingly valuable tool in gastrointestinal endoscopy, especially in the context of inflammatory bowel d...
Polymerase chain reaction (PCR) cycle threshold (Ct) values can be used to estimate the viral burden of Severe Acute Respiratory Syndrome Coronavirus ...
BACKGROUND: To characterize temporal and geographic patterns of metabolic dysfunction-associated steatotic liver disease (MASLD) across Asia from 1990...
Estimation of exposure-response association is central to epidemiologic research. Although the advantages of machine learning (ML) techniques for mode...
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive cancers, typically diagnosed at an advanced stage due to its su...
Antimicrobial resistance (AMR) is a major global health challenge that threatens the effective prevention and treatment of infections. It arises from ...
Klebsiella oxytoca is a clinically significant opportunistic bacterium that contributes to global morbidity and mortality. Despite its clinical releva...
This study aimed to integrate Nigerian Pidgin English (NPE) into the Artificial Intelligence system EPIWATCH®, with the aim of providing early detecti...
BACKGROUND: Fascioliasis is a neglected infectious disease affecting agricultural communities worldwide, with the Peruvian Andes among the most severe...
Hepatitis B transmission is influenced by environmental variability, immune response and vaccination, making its spread inherently stochastic, while t...
The immune evasion that is encouraged by the tumor microenvironment (TME) is a key factor in the failure of cancer immunotherapies. This review addres...