Latest AI and machine learning research in surveillance for healthcare professionals.
Vehicle color recognition is an important cue for vehicle identification in surveillance systems, es...
Objective. To introduce PsiBench, a clinically validated medication-safety benchmark for evaluating ...
Background: This study aimed to evaluate real-world adverse event (AE) signals of EV to provide evid...
Synthetic healthcare data are widely proposed as privacy-preserving substitutes for real patient dat...
Ensuring public safety in densely populated urban environments remains a critical challenge, necessi...
Veterinary pharmacovigilance systems are essential for monitoring adverse drug events (ADEs), yet ex...
Childhood diarrheal disease remains a leading cause of morbidity and mortality among children under ...
Identifying the origin of an emerging epidemic wave within days of onset could enable targeted respo...
Background: Accurate estimation of childhood diarrheal disease burden in Africa remains challenging ...
Background: Non-invasive diagnosis, reliable recurrence surveillance remain critical unmet needs in ...
Importance Prognostic tools beyond staging are needed to guide treatment and counseling in head and ...
Andes orthohantavirus (ANDV), the primary etiological agent of hantavirus pulmonary syndrome (HPS) i...
Reliable early warning of infectious disease outbreaks remains a major challenge for surveillance sy...
Background: Professionalism and effective communication are foundational determinants of patient saf...
Hospital antimicrobial resistance (AMR) emanates from an array of complex interactions between patie...
Antimicrobial resistance (AMR) has a profound impact on animal and human health and is associated wi...
Distant melanoma metastasis at the time of diagnosis is uncommon, but has major implications for pat...
Monocular 3D object detection remains challenging because metric size and depth are underdetermined ...
Unmanned aerial vehicles (UAVs) can provide flexible traffic surveillance where fixed roadside camer...
Transmissible hospital-acquired infections (HAIs) arise from complex, time-varying interactions amon...
We introduce ClaroAI-Bench, an evaluation suite for measuring AI agents' ability to reproduce comput...