Latest AI and machine learning research in surveillance for healthcare professionals.
INTRODUCTION: Artificial intelligence (AI) is becoming increasingly integrated into clinical care in...
The Brazilian Amazon Rainforest holds a large ecological and economic importance and is considered o...
The field of high-entropy alloy nanoparticles (HEA-NPs) had to move and indeed has moved beyond the ...
Highly pathogenic avian influenza (HPAI), especially the H5N1 subtype has caused repeated global out...
OBJECTIVE: Communicable diseases, especially seasonal respiratory illnesses, contribute significantl...
Epidemiology has long been central to public health, guiding our understanding of the distribution a...
OBJECTIVE: The aim of the systematic review is to evaluate the application of machine learning (ML) ...
BACKGROUND AND OBJECTIVE: This systematic review evaluates the current state of Machine Learning (ML...
BACKGROUND: Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, arising ...
BACKGROUND: The constant emergence of novel psychoactive substances (NPS) poses significant analytic...
OBJECTIVES: The global crisis of antimicrobial resistance (AMR) demands a paradigm shift in traditio...
PURPOSE OF REVIEW: The 2022 global mpox outbreak showed that surveillance systems were not ready to ...
Antimicrobial resistance (AMR) has emerged as one of the most critical global public health crises, ...
The rapid proliferation of unmanned aerial vehicles (UAVs) for logistics, surveillance, and civilian...
Axial spondyloarthritis is a chronic inflammatory disease primarily affecting the sacroiliac joints ...
Endoscopic ultrasound (EUS) has evolved from a diagnostic imaging tool into a versatile platform tha...
BACKGROUND: Machine learning (ML) may improve prediction of atrial fibrillation (AF), but its value ...
OBJECTIVES: To assess the 1-year natural history of liver imaging reporting and data system (LI-RADS...
BACKGROUND: Artificial intelligence (AI) technologies are increasingly incorporated into restorative...
Effective monitoring of CO2 leaks from carbon capture and storage (CCS) sites is vital to mitigate e...
INTRODUCTION: Advances in natural language processing (NLP) technologies have gained prominence for ...