Latest AI and machine learning research in public health & policy for healthcare professionals.
Climate variability plays a fundamental role in desert locust population dynamics, yet most existing modelling and optimal control frameworks rely on simplified representations of seasonal forcing that inadequately capture short-term climatic variability. To address this limitation, we develop a climate-informed predictive optimal control framework that integrates a mechanistic stage- and phase-st...
Generative AI, particularly large language models (LLMs), is reshaping clinical workflows in dermatology. However, cloud-based commercial models pose persistent challenges to Health Insurance Portability and Accountability Act (HIPAA) compliance, especially in dermatology, where protected health information (PHI) extends beyond text to clinical photographs, dermoscopic images, and total-body photo...
BACKGROUND: Cesarean section (C-section) is the most common surgical procedure in the United States, yet its use varies widely across regions and inst...
Endodontic care has traditionally focused on the management of local disease conditions and long-term function. As the burden of pulpal and periapical...
BACKGROUND & AIMS: Cholangiocarcinoma (CCA) is a major complication of primary sclerosing cholangitis (PSC), with a 20-year incidence of ∼15%. Early d...
Dengue remains a major public health problem in endemic regions, including Bangladesh. Forecasting algorithms relying on climatic variables may not ca...
Heat exposure drives substantial global disease and mortality burdens, making spatially explicit heat health risk assessment essential for targeted ad...
Despite advances in risk prediction, cardiovascular prevention remains suboptimal, reflecting limitations in model architecture, incomplete integratio...
BACKGROUND: Atrial fibrillation (AF) is a common arrhythmia associated with an increased risk of stroke and heart failure. To improve prevention, rece...
BACKGROUND: Large language models (LLMs) are rapidly emerging in health care, offering opportunities in decision support, education, and research, but...
This scoping review consolidates existing technology-enabled interventions for preventing and responding to abuse of older people (AOP). Studies repor...
Escherichia coli (E. coli) is a key indicator of fecal contamination in freshwater and can signal the presence of other harmful bacteria and viruses. ...
Secondary use is now the ordinary condition of data science health research rather than an exception to it. Electronic health records collected for cl...
Bisphenol A (BPA) is a ubiquitous environmental endocrine disruptor; its association with pancreatic cancer and its potential mechanisms of action rem...
BACKGROUND: Oral non-communicable diseases impose a substantial and unequally distributed global burden. Digital technologies have the potential to su...
Artificial intelligence (AI) is transforming healthcare delivery globally, with increasing applications in public health dentistry. This scoping revie...
PURPOSE OF REVIEW: Amoebiasis is a parasitic infection caused by Entamoeba histolytica, affecting 10% of the global population. It is a well recognize...
OBJECTIVE: Chronic schizophrenia patients in psychiatric hospitals often have prolonged stays, high insurance resource consumption, and low efficiency...
BACKGROUND: Secondary prevention of coronary heart disease (CHD) remains suboptimal due to fragmented care and therapeutic inertia. While digital heal...
Although preventable oral diseases are still very common among school-aged children worldwide, dental caries remains a significant public health conce...