Public Health & Policy

Digital infrastructures and data interoperability in radiology for prevention: from digital health to AI-enabled, quantitative imaging workflows.

Radiology is rapidly evolving from a service that produces images into a data-centric clinical platf...

Machine Unlearning Based on Globally Refined Convergent Clustering for Health Survey Data-driven Prediction Model.

Machine learning models built from national health surveys enable population-scale risk stratificati...

Geospatial-based surveillance of malaria risk in dar es salaam using a hybrid 3DCNN + LSTM and CA model.

Malaria remains a significant public health burden in tropical and subtropical regions, where the ef...

[Chinese guideline for the diagnosis and treatment of hospital-acquired pneumonia and ventilator-associated pneumonia in adults (2026 edition): protocol].

This document serves as the protocol for the development of the Chinese Guideline for the Diagnosis ...

Disparities in severe infection risk associated with systemic lupus erythematosus: evidence from a causal forest analysis.

OBJECTIVES: Severe infections are a primary cause of morbidity and premature mortality in patients w...

Modeling multidimensional perceived risk in HIV-related social media: a multi-label transformers framework with longitudinal analysis.

This paper presents a supervised multi-label framework for detecting multidimensional perceived risk...

Machine learning driven modeling of synergistic perinatal risk profiles in early onset pediatric cerebral palsy.

AIM: To develop and evaluate machine learning (ML) models for early cerebral palsy (CP) prediction a...

Deep learning-based malignancy probability estimation of pulmonary nodules in PET/CT imaging.

OBJECTIVE: The current BTS guidelines recommend evaluation of suspicious pulmonary nodules using [18...

Periodic surveillance of intraductal papillary mucinous neoplasms: gaps in evidence and future directions.

Intraductal papillary mucinous neoplasm (IPMN) is a well-established precursor to pancreatic cancer;...

Characterizing spatiotemporal spread of infectious diseases using ellipse-shaped transmission hotspots: application to dengue virus outbreaks.

BACKGROUND: Identifying transmission hotspots associated with micro-clustering patterns at the early...

Colorectal Cancer Screening in Hereditary and Familial High-Risk Populations: Best Practices and Future Directions.

Colorectal cancer (CRC) remains a leading cause of cancer-related morbidity and mortality worldwide ...

A bibliometric analysis of global research trends and emerging hotspots on suicide and depression among children and adolescents.

BACKGROUND: Suicide and depression among children and adolescents represent critical global public h...

Artificial Intelligence in Vascular Surgery: Translating Innovation into Clinical Practice: A Narrative Review.

Artificial intelligence (AI) is rapidly reshaping modern medicine, with expanding applications in va...

Artificial Intelligence and the National Diabetes Prevention Program: Modernizing Public Health Infrastructure to Scale Prevention Efforts.

Performance of AI in Predicting the Progression of Gestational Diabetes to Type 2 Diabetes: Systematic Review and Meta-Analysis.

BACKGROUND: Gestational diabetes mellitus (GDM) significantly increases the risk of developing type ...

Fostering Digital Resilience Among Youth Who Experienced Cyberbullying: Design Thinking Approach.

BACKGROUND: Cyberbullying affects approximately one-third of Thai secondary school students and has ...

Infection prevention and control measures for Ebola and Marburg disease: a series of rapid reviews.

OBJECTIVES: An evidence synthesis informed the 2023 WHO infection prevention and control (IPC) guide...

AI-Based Segmental Volumetry of the Downstream Aorta in Aortic Dissection: End-to-End Versus Hybrid Strategies.

Automated segmental volumetry is effective for aortic dissection surveillance but lacks standardizat...

Improving insurance deduction identification: a hybrid artificial intelligence model using machine learning and expert systems.

PURPOSE: Financial challenges in healthcare systems worldwide, especially in low- and middle-income ...

Plant Biofactories for Vaccination: Progress in Edible Vaccine Technologies as a Sustainable Approach to Global Immunization.

Globally, the pathogen-driven enteric diseases remain a leading cause of morbidity and mortality, di...

Emerging Novel SARS-CoV-2 Subvariants and the Advantages of AI-ML in Deciphering the Mutation Trends, Genomic Surveillance and Vaccine Development.

BACKGROUND AND AIM: The world witnessed COVID-19 in 2025 yet again, a resurgence driven by LF.7 and ...