Latest AI and machine learning research in public health & policy for healthcare professionals.
RATIONALE AND OBJECTIVES: Timely radiology access is essential for accurate diagnosis, treatment pla...
BACKGROUND: Snakebite envenoming (SBE) is a neglected tropical disease and a major public health cri...
BACKGROUND: Intracranial metastatic disease is a severe complication of cancer that confers substant...
INTRODUCTION: Risk adjustment is critical in observational epidemiology to control for confounding o...
Colorectal cancer (CRC) imposes a substantial global burden, with highest incidence in Australia/New...
The short metabolic half-life of conventional tobacco biomarkers often limits their ability to refle...
The aeromedical certification of commercial airline pilots relies on periodic, self-disclosure-depen...
BACKGROUND: Pneumoconioses remain an important occupational health issue, particularly in low- and m...
In patients with cardiovascular disease (CVD), frailty is a significant problem due to its associati...
OBJECTIVES: To evaluate the feasibility and performance of a large language model (LLM)-based artifi...
Plasmids are extrachromosomal mobile genetic elements whose copy numbers (PCNs) critically influence...
Bioinformatics has transformed modern virology by linking genomic variation to epidemiology, protein...
Veterinary clinical biosecurity is key to preventing infectious diseases in animal clinics, particul...
BACKGROUND: Surgical site infection (SSI) surveillance can be time consuming and resource intensive....
Gastroenterology offers a broad, evidence-based range of preventive measures that goes beyond colore...
BACKGROUND: Hand hygiene is a fundamental measure for preventing healthcare-associated infections, y...
Evidence-based medicine (EBM) integrates clinical expertise, patient values, and best available rese...
Postoperative delirium (POD) is a common and serious complication in elderly hip fracture patients, ...
Artificial intelligence (AI) has demonstrated a strong technical potential to enhance public health ...
OBJECTIVES: To characterize stepping in a nationally representative sample of U.S. adults by age, se...
Human action recognition has become increasingly important for applications in security surveillance...