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 ...
INTRODUCTION: Artificial intelligence (AI) is becoming increasingly integrated into clinical care in...
The field of high-entropy alloy nanoparticles (HEA-NPs) had to move and indeed has moved beyond the ...
BACKGROUND: Machine learning (ML) is increasingly explored for opioid overdose and opioid use disord...
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: 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 ...
INTRODUCTION: Focal therapy (FT) has emerged as an intermediate therapeutic strategy between active ...
BACKGROUND AND OBJECTIVE: White blood cells (WBCs) are key biomarkers of immune status, but current ...
OBJECTIVE: To evaluate the diagnostic accuracy and workflow efficiency of BioticsAI-anatomyUNet-0.1-...
PURPOSE: To develop and validate a neural network-based Kid's Listening Performance Checklist (KLiP)...
BACKGROUND: Asthma is the most common chronic disease in children. Suboptimal asthma control is prev...