Latest AI and machine learning research in public health for healthcare professionals.
BACKGROUND: Acute respiratory infections (ARIs) remain a major cause of morbidity and hospitalization in children worldwide. In the post-COVID-19 era, the epidemiological patterns of respiratory pathogens have changed considerably, posing new challenges to conventional forecasting approaches. This study aimed to compare the performance of traditional statistical and deep learning models in forecas...
Modeling and predicting viral mutations before they emerge plays a crucial role in pandemic preparedness, enabling the early identification of emerging variants of concern (VOCs) and guiding timely updates to vaccines, diagnostic tests, and therapeutic strategies. However, existing machine learning models and large-scale experiments lose their predictive power as viral variants evolve further from...
BACKGROUND: Global infectious disease surveillance requires timely integration of heterogeneous data sources. Existing platforms typically address onl...
AIMS: Active surveillance (AS) allows selected men with localized prostate cancer to defer curative therapy and reduce treatment morbidity. Conversion...
BACKGROUND: Adverse drug events (ADEs) remain a critical safety issue in pharmaceutical research and development (Pharma R&D), necessitating robust me...
OBJECTIVES: Malaria remains a major public health concern in flood-prone districts where environmental vulnerability and weak health infrastructure ex...
OBJECTIVES: To describe the epidemiology of local signs at intravascular catheter insertion sites across catheter types and care settings, to compare ...
BACKGROUND: The COVID-19 pandemic demonstrated the potential role of digital health tools in enhancing pandemic preparedness and response. These tools...
Despite advances in the management of head and neck squamous cell carcinoma (HNSCC), mortality within 6 months of diagnosis remains a substantial clin...
Heavy metals, including lead (Pb), cadmium (Cd), arsenic (As), and mercury (Hg), are pervasive environmental toxicants increasingly recognized as nont...
AIM: This qualitative study explores how digitalisation primarily through electronic health records and digital documentation systems is experienced b...
PURPOSE OF REVIEW: This review synthesizes recent progress in applications of artificial intelligence to heart failure care, including phenotyping, ri...
BACKGROUND: Unlicensed medical practices (UMPs) pose a substantial threat to patient safety and public health, but their clandestine nature makes them...
This study employs an integrated computational approach to investigate Mpox vaccine intention in Bangladesh as Mpox immunisation strategies require a ...
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into public health and dentistry, with a range of applications. While these develo...
BACKGROUND: Mild cognitive impairment (MCI) is an important public health concern in ageing populations, yet scalable approaches for early identificat...
PURPOSE: Surveillance of arboviral vectors and screening for probable infection is very important for the planning of vector control programs, especia...
Metabolic biomarkers offer promising opportunities for lung cancer risk assessment and early detection. This study aimed to identify metabolites with ...
BACKGROUND: Pakistan faces a serious challenge in malnutrition, as its core nutrition indicators and minimum dietary diversity remain below the recomm...
Hereditary endocrine neoplastic syndromes require structured, lifelong surveillance owing to their multisystem involvement, variable penetrance, and h...