Public Health & Policy

Urinary Biomarkers for Cancer Diagnosis and Surveillance: From Analytical Promise to Clinical Utility.

Urine is an attractive source of cancer biomarkers because it can be collected non-invasively and repeatedly, yet high diagnostic accuracy in early studies has rarely translated into routine care. This structured critical narrative review evaluates urinary proteins, nucleic acids, extracellular-vesicle cargo, and metabolites according to intended clinical use and evidence maturity rather than biom...

Early Adoption of Autonomous Artificial Intelligence Screening for Diabetic Retinopathy After Introduction of Medicare Billing Code 92229.

PURPOSE: Diabetic retinopathy remains a leading cause of blindness in the United States. Autonomous artificial intelligence (AI) systems for screening have received US Food and Drug Administration authorization, and a dedicated Medicare billing code for autonomous point-of-care retinal screening was introduced in 2021. This study aimed to characterize observed utilization, billing National Provide...

XGBoost-based early warning framework for farm-level PED risk using meteorological and herd management variables.

Porcine epidemic diarrhea (PED) imposes substantial economic losses on the global swine industry, with outbreaks driven by the complex interplay of me...

Artificial Intelligence in Infectious Disease Research.

BACKGROUND: Infectious diseases remain a major global health challenge, and while AI is rapidly advancing diagnostic techniques such as Computed Tomog...

Building a Global Research Network for Fair, Accountable, Interpretable, and Responsible AI in Emergency Care: Protocol for a FAIR-EC Study.

BACKGROUND: The current landscape of emergency care (EC) is marked by high demand, leading to issues such as emergency department boarding, overcrowdi...

Seeing Beyond the Surgeon's Eye: Artificial Intelligence for Postoperative Monitoring of Free Vascularized Flaps: A Narrative Review.

BACKGROUND: Postoperative monitoring of free vascularized flaps (FVFs) is critical for early detection of ischemia and timely salvage. Although tradit...

Integrative Genomic Analysis Reveals Molecular and Clinical Disparities between Bladder and Upper Tract Urothelial Carcinoma in K-MASTER Program.

PURPOSE: The clinical outcome of urothelial carcinoma presents significant variability, reflecting its molecular composition, epidemiologic attributes...

Faculty Burnout at the Intersection of Artificial Intelligence Adoption and Academic Integrity Measures: A Thematic Analysis in Higher Education.

The rapid integration of Artificial Intelligence (AI) in higher education has changed teaching and assessment practices and has introduced new risks f...

Nurse-Led Large Language Model Chatbot for Predicting and Preventing Complications After Coronary Artery Bypass Grafting: Protocol for a Randomized Controlled Trial.

BACKGROUND: Thirty-day unplanned readmission following coronary artery bypass grafting (CABG) affects 10%-20% of patients and is a key quality indicat...

Convergences and divergences in nursing ethics across the European Union: A qualitative comparative analysis of national codes.

BACKGROUND: Nursing ethics guides practice, but European Union national codes were developed in diverse socio-legal contexts, generating heterogeneous...

Between the hype and harm: does artificial intelligence in health offer solace or further exclusion for marginalised populations in Sub-Saharan Africa? A scoping review.

Artificial intelligence (AI) is increasingly being integrated into healthcare systems and has the potential to improve health outcomes. In Sub-Saharan...

A spatiotemporal U-Net++ deep learning framework for dengue risk mapping in Colombia.

Understanding dengue dynamics from a spatiotemporal perspective has become increasingly relevant in recent years, as it allows the identification of f...

UCtracker: A Deep Learning-Based DNA Methylation Model for Noninvasive Diagnosis and Recurrence Surveillance of Urothelial Carcinoma in a Prospective Study.

Noninvasive diagnosis and longitudinal surveillance of urothelial carcinoma (UC) remain clinically challenging. Here, we developed and prospectively v...

Real-time clinical decision support system for early identification of infection and sepsis in the intensive care unit: a retrospective development and prospective deployment study.

BACKGROUND: Sepsis and infection are distinct yet overlapping conditions in the intensive care unit (ICU), posing diagnostic and management challenges...

A machine learning-based framework for individualized physical activity and strength targets related to women's bone health.

While substantial evidence supports the associations between physical activity and bone health, the present study aims to advance the field by applyin...

Leveraging machine learning with real-world data for hypothesis generation by identifying exposomic predictors in Parkinson's disease among farmers.

BackgroundMachine learning offers new avenues for complementing traditional epidemiological approaches by analyzing routinely collected, population-ba...

Long-term remote sensing monitoring of turbidity in the Danjiangkou Reservoir, China: spatiotemporal dynamics and influencing factors.

The Danjiangkou Reservoir is the drinking-water source of the South-to-North Water Diversion Middle Route and a national Class I drinking-water protec...

Predicting Next-Day Passive Suicidal Ideation in At-Risk Youth.

INTRODUCTION: Passive suicidal ideation (SI) is a well-established risk factor for suicidal behavior but has received less attention than active SI. A...

Investigating the Relationship Between Suicide Risk and Warning Signs Within China and the United States: Using Machine Learning to Facilitate Content Analysis.

This study explores how machine learning can facilitate large-scale content analysis of suicide-related expressions on social media across cultural co...

Global Diabetes: Rapidly Changing Landscape and a Rising Tide of Opportunities: The 2025 Distinguished International Service in the Cause of Diabetes Award Lecture.

Diabetes affects an estimated 828 million people worldwide; prevalence is growing rapidly in low- and middle-income countries (LMICs), with major heal...