Public Health & Policy

Causal Machine Learning for Personalized Surgical Decision-Making in Aortic Dissection: A National Fairness-Aware Clinical AI Framework.

BACKGROUND: Most machine learning models for aortic dissection predict mortality but do not address ...

Comparing AI-Assisted Coding and Traditional Qualitative Analysis: a Study Examining Differences in Methods and Results of AI-Assisted Coding and Traditional Content Coding Using Community Engagement Data Collected During the Development of a Municipal Food Plan.

Qualitative data poses a challenge for prevention science and public health, as it is critical to ex...

Opposition to Youth e-Cigarette Prevention Campaigns on Twitter and TikTok: Cross-Platform Observational Mixed Methods Analysis.

BACKGROUND: Youth e-cigarette use rose sharply between 2013 and 2024 in the United States, prompting...

Capacity building for ethical use of artificial intelligence in health: protocol for a scoping review of training initiatives and gaps in Africa.

INTRODUCTION: Artificial intelligence (AI) is increasingly embedded in health systems, with applicat...

Resuscitation 2025 congress: launch of the resuscitation guidelines, scientific advances, education, equity, and innovation across the chain of survival.

The European Resuscitation Council (ERC) Congress - Resuscitation 2025 was held in Rotterdam as a fu...

Explainable machine learning for long-term cardiovascular disease risk prediction in Chinese middle-aged and older adults: a 9-year longitudinal cohort study with web-based risk calculator.

Cardiovascular disease represents the leading cause of mortality in China, accounting for over 40% o...

Smart Sensors, Smarter Hearts: The Wearable Revolution in Cardiology.

Cardiovascular disease (CVD) continues to claim more lives than any other condition worldwide. Tradi...

Optimising pandemic response through vaccination strategies using neural networks.

Epidemic risk assessment poses inherent challenges, with traditional approaches often failing to bal...

Multi-output LSTM-based prediction of postoperative delirium: integrating baseline and perioperative data for enhanced risk stratification in older spine surgery patients.

INTRODUCTION: Postoperative delirium (POD) adversely affects clinical outcomes among older adults un...

The plastisphere as a nexus for antimicrobial resistance: micro(nano)plastics in pathogen colonization, gene transfer, and global health risks.

Microplastics (MPs) and nanoplastics (NPs) have emerged as pervasive vectors of antimicrobial resist...

Digital diagnostics, biomarkers and therapeutics in an evolving healthcare system: From promise to practice.

Health care is shifting towards a digital-guided system, integrating digital diagnostics, biomarkers...

A Knowledge-Guided Bi-Modal Network for the Classification of Anterior Chamber Angle Images.

Glaucoma is a leading cause of irreversible blindness globally. When glaucoma is diagnosed, Anterior...

Severe COVID-19 in the Republic of Korea: Epidemiology, Risk Factors, Therapeutics, and Prognostic Models From Nationwide Data.

Severe coronavirus disease 2019 (COVID-19) has posed ongoing clinical and public health challenges w...

The role of digital tools and artificial intelligence in supporting antimicrobial stewardship: Study protocol for a systematic review.

INTRODUCTION: Since the post-antibiotic era, there has been significant difficulty in treating infec...

Epidemiology of Peripheral Artery Disease, Risk Factors, and Trends.

Peripheral artery disease (PAD) affects more than 230 million people worldwide, with a disproportion...

Validation of an AI-assisted screening tool for lameness detection in dairy cattle: A field-based study for preventive herd health management.

Lameness is a major welfare and economic challenge in the dairy industry, requiring effective survei...

Predicting the Timing of the Metabolic Inflection Point in Type 1 Diabetes Progression Using Machine Learning and Survival Analysis Models.

We undertook this study to improve early identification of the metabolic inflection point (IP) prece...

[Advances in integrated antimicrobial resistance diagnostics: quantitative, qualitative and AI-driven approaches].

The rapid global increase in antimicrobial resistance complicates the treatment of life-threatening ...

Causal and spatiotemporal deep learning for dengue forecasting and extreme outbreak risk under climate variability: a framework from Vietnam.

Population-Level Digital Stroke Surveillance: Building a Fair and Accurate ICD-10 Detection Model.

Background The International Classification of Diseases, 10th Revision (ICD-10), is widely used for ...

Reusing health records from farm animal practices at scale: A potential complementary method of surveillance.

BACKGROUND: Disease in primary care frequently represents a surveillance blind spot, particularly fo...