Latest AI and machine learning research in public health & policy for healthcare professionals.
Capturing the structured mixing within a population is key to the reliable projection of infectious ...
Self-supervised learning (SSL) has revolutionized representation learning, with Joint-Embedding Arch...
Background Timely detection of seasonal influenza outbreaks is critical for healthcare system prepar...
Background Placental dysfunction remains a leading cause of stillbirth and neonatal morbidity, yet c...
We present TornadoNet, a comprehensive benchmark for automated street-level building damage assessme...
Accurate vessel segmentation is essential for reliable hemodynamic quantification in 4D Flow MRI. Au...
Background: Cardiovascular disease (CVD) readmissions impose substantial clinical and economic burde...
Objective: To evaluate the effectiveness of various Large Language Models (LLMs) in identifying reli...
Importance: Lung cancer mortality in the United States has fallen substantially in recent decades, y...
Leptospira is a highly diverse genus traditionally classified by serological assays into more than 3...
Individualized decision rules (IDRs) have become increasingly prevalent in societal applications suc...
Infrared and visible image fusion (IVIF) integrates complementary modalities to enhance scene percep...
Colonic polyps are well-recognized precursors to colorectal cancer (CRC), typically detected during ...
Alcohol Use Disorder (AUD) is a multifactorial condition with severe individual and societal impacts...
Introduction Clinicians and patients are likely to increasingly use Large Language Models (LLMs) for...
Background: Nontyphoidal Salmonella enterica (NTS) is a major public-health threat in the United Sta...
Background Clinicians in care management programs are often in low supply relative to patient demand...
Abstract Background Tuberculosis (TB) remains a major public health challenge in Nepal, with inciden...
The COVID-19 pandemic has presented severe challenges in understanding and predicting the spread of ...
Background: Diagnostic errors are a leading cause of preventable patient harm, often occurring durin...
Accurate identification of unknown pathogens is critical for medicine and public health, yet current...