Latest AI and machine learning research in surveillance for healthcare professionals.
Microplastics (MPs) and nanoplastics (NPs) have emerged as pervasive vectors of antimicrobial resistance (AMR), with the plastisphere being a microbial niche on plastic surfaces acting as a nexus for pathogen colonization, gene transfer, and global health risks. These particles adsorb antibiotics, transport pathogens, and serve as reservoirs for antibiotic resistance genes (ARGs), fostering pathog...
Artificial intelligence (AI) and radiomics show significant potential to augment bladder cancer (BC) MRI but face a critical translational gap. This scoping review of 79 studies maps a rapidly growing field dominated by retrospective, single-center designs lacking external validation. While diagnostic performance for staging is promising (AUC up to 0.99 in ideal settings), robust multi-center stud...
Despite advances in deep learning and transformer architectures, prior reviews have focused narrowly on traditional clinical decision support systems ...
BACKGROUND: Early diagnosis of Alzheimer's disease (AD) and related dementias remains challenging because no single biomarker sufficiently captures th...
Severe coronavirus disease 2019 (COVID-19) has posed ongoing clinical and public health challenges worldwide, with Korea providing a unique perspectiv...
AIM: The aim of this study is to assess nurse practitioner students' perceptions and engagement with Isabel's artificial intelligence (AI) based diffe...
PURPOSE: To map contemporary uses of artificial intelligence (AI) to identify conventional and unconventional risk factors for sports injuries in athl...
BACKGROUND: The integration of artificial intelligence (AI) into virtual emergency care represents a potentially transformative approach to healthcare...
BACKGROUND: Diet-related chronic conditions are major contributors to global morbidity and mortality. Effective management of these conditions require...
Peripheral artery disease (PAD) affects more than 230 million people worldwide, with a disproportionate burden in low- and middle-income countries. PA...
Artificial intelligence (AI) has the potential to transform health care; however, successful integration of AI into health care requires overcoming ob...
The rapid global increase in antimicrobial resistance complicates the treatment of life-threatening infections and makes fast, reliable antimicrobial ...
Background The International Classification of Diseases, 10th Revision (ICD-10), is widely used for clinical care, quality assurance, and stroke resea...
BACKGROUND: Disease in primary care frequently represents a surveillance blind spot, particularly for diseases affecting farm animals. METHODS: Electr...
Artificial intelligence (AI) is rapidly transforming the management landscape of inflammatory bowel disease (IBD). While early applications in endosco...
BACKGROUND: Early detection of melanoma presents a major public health challenge. Growing evidence supports targeted surveillance of individuals at hi...
OBJECTIVES: To review the application of prediction models and risk factors identified by prediction models for invasive fungal infection (IFI) in chi...
Salmonella is one of the most common foodborne pathogens worldwide, with transmission closely linked to contamination across multiple food products. E...
Acinetobacter baumannii, particularly in its multidrug-resistant (MDR) and carbapenem-resistant (CRAB) forms, has become a major global health concern...
OBJECTIVES: Although artificial intelligence, including machine learning offers transformative potential, its use in infectious disease epidemiology h...