Latest AI and machine learning research in surveillance for healthcare professionals.
PURPOSE: This prospective multicenter study aimed to compare the decision-making abilities of board-...
INTRODUCTION: This systematic review evaluates the stage-specific diagnostic accuracy of artificial ...
BACKGROUND: Digital twin (DT) systems have emerged as a promising approach in health care, enabling ...
OBJECTIVES: Pressure injuries are common chronic wounds that require accurate staging to guide manag...
Mosquito larval source management remains a critical strategy for malaria control, but traditional m...
Predicting the epidemic threshold [Formula: see text] in contact networks is a central challenge in ...
OBJECTIVES: The application of large language models (LLMs) to systematic review tasks is rapidly ex...
AIM: Machine learning (ML) applications in pharmacovigilance remain limited and underexplored. Using...
BACKGROUND: Acute respiratory infections (ARIs) remain a major cause of morbidity and hospitalizatio...
BACKGROUND: Despite promising results of artificial intelligence (AI) in prostate cancer (PCa) detec...
BACKGROUND: COPD remains a leading cause of global morbidity and mortality, with acute exacerbations...
BACKGROUND: Global infectious disease surveillance requires timely integration of heterogeneous data...
BACKGROUND: Large language models (LLMs) are being integrated into qualitative research processes, y...
OBJECTIVE: In emergency trauma care, artificial intelligence (AI) may aid fracture detection on radi...
BACKGROUND: Adverse drug events (ADEs) remain a critical safety issue in pharmaceutical research and...
OBJECTIVES: To describe the epidemiology of local signs at intravascular catheter insertion sites ac...
BACKGROUND: Online health information seeking (OHIS) has become a central component of chronic disea...
BACKGROUND: The COVID-19 pandemic demonstrated the potential role of digital health tools in enhanci...
INTRODUCTION: Sepsis is a life-threatening condition in intensive care units (ICUs), where any delay...
Despite advances in the management of head and neck squamous cell carcinoma (HNSCC), mortality withi...
Large language models (LLMs) are starting to be coupled with brain-computer interfaces (BCIs) for as...