Latest AI and machine learning research in bioterrorism for healthcare professionals.
OBJECTIVES: Large language models (LLMs), such as Open AI's Chat Generative Pre-Trained Transformer (GPT)-4 and Google Gemini, have gained significant attention for their ability to process complex language patterns and are being used increasingly in fields such as medicine, where they assist in learning, collaboration, and patient care. Although prior studies have evaluated LLMs on medical licens...
PROBLEM: Inequities in educational infrastructure, faculty availability, and access to continuing professional development contribute to variability in physician preparedness across Thailand, particularly between urban and rural settings. Newly graduated physicians are frequently deployed to resource-limited areas with inconsistent access to structured continuing education and specialist supervisi...
Recently, smart cities are facing pressing challenges due to global warming. Rising greenhouse gas emissions driven by population growth, increased mo...
Advances in fetal diagnosis and therapy have created a need for clinicians with expertise spanning prenatal assessment and neonatal care. Current mate...
This article examines the preparedness of emergency management (EM) for addressing questions pertaining to artificial intelligence (AI), encompassing ...
This study comparatively evaluated accuracy and response stability of artificial intelligence (AI)-models in answering diagnostic, therapeutic and pro...
Exercise is a promising strategy associated with improved cancer-related outcomes through multiple biological mechanisms. However, current exercise gu...
BACKGROUND: With the rapid implementation of artificial intelligence (AI) in radiographer workflows, leadership roles are necessary for its safe and e...
Antigenically diverse pathogens such as coronaviruses pose substantial global health threats, highlighting the need for broad-spectrum vaccines. Here,...
AIM: This study examined the relationship between medical artificial intelligence readiness and AI-related anxiety among nursing students following su...
Due to the perceptual challenges created by obstructed sight lines, drivers in beyond-line-of-sight (BLOS) scenarios often fail to detect hazards unti...
BACKGROUND: As algorithm-based decision support tools become increasingly integrated into clinical workflows, particularly with the popularization of ...
Accurate and rapid identification of quarantine-significant tephritids is critical to global agricultural biosecurity, but the application of deep lea...
BACKGROUND: Large language models (LLMs) are increasingly used as accessible sources of health information, including orthodontic patient counseling. ...
Prostatic artery embolization (PAE) is a safe and effective minimally invasive treatment for lower urinary tract symptoms (LUTS) attributed to benign ...
The influenza viruses (IVs) are major public health risk, causing immense seasonal infections, severe illness, and respiratory deaths yearly. Rapid, a...
BACKGROUND: Large language models (LLMs) have gained increasing popularity in medical education, with evidence supporting their educational value when...
BACKGROUND: Emerging zoonotic poxviruses such as lumpy skin disease virus (LSDV) and monkeypox pose significant threats to animal and human health, ye...
BACKGROUND: The selection of appropriate machine learning (ML) methods for clinical research remains challenging, particularly when both predictive pe...
BACKGROUND: Enterovirus infections cause substantial pediatric morbidity worldwide, with severe cases requiring hospitalization. Accurate forecasting ...