Latest AI and machine learning research in surveillance for healthcare professionals.
Study DesignLiterature review.ObjectiveThe Transparent Reporting of a multivariable prediction model...
This project represents the first systematic assessment of the US Food and Drug Administration's pos...
Brugada syndrome (BrS) is a cardiac channelopathy associated with an elevated risk of arrhythmias an...
Artificial intelligence (AI) models are promising tools for predicting antimicrobial susceptibility ...
Emerging and re-emerging infectious diseases (EIDs and Re-EIDs) cause significant economic crises a...
Visually apparent diseases are valuable for investigating and monitoring the occurrence and prevalen...
BACKGROUND: Candida endophthalmitis (CE) and chorioretinitis are uncommon but potentially devastatin...
The Asia-Pacific region faces serious liver health challenges, primarily because of the comparativel...
Pharmacovigilance is essential for protecting patient health by monitoring and managing medication-r...
Primary lymphoma of bone (PLB) is a rare extranodal lymphoma, and its epidemiology and prognosis rem...
The association between obesity and cancer risk carries substantial public health ramifications as o...
Over the past few decades, the rising burden of metabolic disease, including type 2 diabetes, predia...
Sickle cell retinopathy (SCR) is an ocular manifestation of sickle cell disease (SCD). In SCR abnorm...
Communicating Narrative Concerns Entered by RNs Early Warning System (CONCERN EWS) is a machine-lear...
In 1998, an international and multidisciplinary group of experts (from the fields of spine surgery, ...
In 1998, an international and multidisciplinary group of experts (from the fields of spine surgery, ...
Digital biomarkers for fatigue monitoring in neurological disorders represent an innovative approach...
Wastewater-based epidemiology (WBE) has emerged as a transformative approach for community-level hea...
Neuroimaging screening and surveillance is one of the first frontline diagnostic tools leveraged in ...
Nystagmus, a common yet intricate ocular movement disorder, significantly contributes to visual morb...
Detecting infectious disease outbreaks promptly is crucial for effective public health responses, mi...