Latest AI and machine learning research in public health & policy for healthcare professionals.
Artificial intelligence (AI) has had an unprecedented impact on several aspects of the human condition and is increasingly being incorporated into research endeavors. AI and related research methods hold great promise for the prevention science field. This special issue, "Transforming Prevention Science: Advances and Applications of Artificial Intelligence and Related Methods," features several ex...
Biological age (BA) has been proposed as a complementary construct to chronological age (CA) for quantifying interindividual heterogeneity in aging trajectories. Biological aging clocks (BACs) integrate molecular, clinical and multi-omics biomarkers to estimate aging-related phenotypes beyond CA. This narrative review critically examines the biological foundations, statistical methodologies, inter...
A substantial body of research provides compelling evidence that tai ji quan, a mind-body exercise rooted in traditional Chinese medicine, is effectiv...
BACKGROUND CONTEXT: Accurate Current Procedural Terminology (CPT) coding is essential for compliant revenue cycle management in spine surgery. However...
INTRODUCTION: Diabetes affects 537 million people worldwide, with type 2 diabetes (T2D) estimated to account for most cases. Type 1 diabetes (T1D), la...
OBJECTIVE: To evaluate the performance and interpretability of multiple ML algorithms for survival prediction in prostate cancer (CaP) and to assess w...
Cerebral aneurysm rupture is strongly associated with localized hemodynamic abnormalities, particularly in aneurysms containing surface blebs that rep...
The increasing burden of persistent organic pollutants, per- and polyfluoroalkyl substances, heavy metals, and emerging contaminants represents a glob...
Chronic liver diseases are an increasing cause of morbidity and mortality in Latin America, driven by the convergence of alcohol and metabolic-associa...
Clinical artificial intelligence has to date generated outputs upon which a clinician then acted. Agentic systems execute the task itself, completing ...
Manual segmentation of orbital magnetic resonance imaging (MRI) is labor-intensive, hindering large-scale morphometric studies. To overcome this, we d...
INTRODUCTION: Chronic kidney disease (CKD) disproportionately burdens non-Hispanic Black (NHB) patients who experience a three- to four-fold higher ri...
Childhood visual impairment and blindness remain major public health concerns in low- and middle-income countries (LMICs), despite a substantial propo...
BACKGROUND: RETFound, a self-supervised retina-specific foundation model, has shown potential in downstream tasks, but its performance in comparison w...
Breast cancer (BC) represents a major public-health burden, and epidemiological evidence suggests a potential association with exposure to methyl 4-hy...
BACKGROUND: Aminoglycosides remain clinically valuable against Staphylococcus aureus. Aminoglycoside resistance in S. aureus represents a critical One...
Vaccination remains among the most effective public health interventions, but its impact increasingly depends on public trust and a reliable informati...
BACKGROUND: Traditional morbidity and mortality (M&M) conferences incompletely capture postoperative complications, potentially limiting quality impro...
BACKGROUND: Although hip fractures are commonly associated with functional decline, increased morbidity, and mortality, accurate models for both short...
Forecasting infectious disease outbreaks is hard. Forecasting emerging infectious diseases with limited historical data is even harder. In this paper,...