Latest AI and machine learning research in surveillance for healthcare professionals.
This study aimed to investigate the utility of Fourier-Transform Infrared Spectroscopy (FT-IRS) for differentiating Clostridium botulinum (C. botulinum) based on its botulinum neurotoxin (BoNT)-encoding gene type and its potential as an epidemiological tool for investigating botulism outbreaks. A total of 110 botulinum neurotoxin-producing clostridia (BNPC) strains, including reference, animal iso...
INTRODUCTION: Artificial intelligence (AI) is becoming increasingly integrated into clinical care in hand surgery. Its applications extend across diagnosis, planning, intraoperative assistance, postoperative monitoring, rehabilitation, prosthetics and education. APPLICATIONS: In diagnostic imaging, AI improves the detection of distal radius and scaphoid fractures, estimates osteoporosis from hand ...
The Brazilian Amazon Rainforest holds a large ecological and economic importance and is considered one of the most biodiverse regions on the planet. T...
The field of high-entropy alloy nanoparticles (HEA-NPs) had to move and indeed has moved beyond the early enthusiasm of simply "mixing five or more el...
Highly pathogenic avian influenza (HPAI), especially the H5N1 subtype has caused repeated global outbreaks, primarily affecting birds, but occasionall...
OBJECTIVE: Communicable diseases, especially seasonal respiratory illnesses, contribute significantly to paediatric hospital presentations and admissi...
Epidemiology has long been central to public health, guiding our understanding of the distribution and determinants of disease. As the field has evolv...
OBJECTIVE: The aim of the systematic review is to evaluate the application of machine learning (ML) and artificial intelligence (AI) models in the ana...
BACKGROUND AND OBJECTIVE: This systematic review evaluates the current state of Machine Learning (ML) methods for predicting Atrial Fibrillation (AF) ...
BACKGROUND: Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, arising from complex interactions among demographic, clini...
BACKGROUND: The constant emergence of novel psychoactive substances (NPS) poses significant analytical challenges due to their structural diversity, l...
OBJECTIVES: The global crisis of antimicrobial resistance (AMR) demands a paradigm shift in traditional drug discovery, and artificial intelligence (A...
PURPOSE OF REVIEW: The 2022 global mpox outbreak showed that surveillance systems were not ready to quickly detect or adapt to the new dynamic of huma...
Antimicrobial resistance (AMR) has emerged as one of the most critical global public health crises, causing an estimated 700,000 deaths annually accor...
The rapid proliferation of unmanned aerial vehicles (UAVs) for logistics, surveillance, and civilian applications continues to pose significant challe...
Axial spondyloarthritis is a chronic inflammatory disease primarily affecting the sacroiliac joints and spine. Over the past two years, significant pr...
Endoscopic ultrasound (EUS) has evolved from a diagnostic imaging tool into a versatile platform that enables high-precision access, sampling, and the...
BACKGROUND: Machine learning (ML) may improve prediction of atrial fibrillation (AF), but its value compared with traditional models such as Cohorts f...
OBJECTIVES: To assess the 1-year natural history of liver imaging reporting and data system (LI-RADS) 3 observations on contrast-enhanced MRI in cirrh...
BACKGROUND: Artificial intelligence (AI) technologies are increasingly incorporated into restorative and esthetic dentistry; however, their reliabilit...