Public Health & Policy

Neuroanatomical profile of externalizing problems level in adults: a machine learning study.

Externalizing problems (EXT) refers to negative behaviors directed externally into the environment. Though a growing literature on structural magnetic resonance imaging (sMRI) research has supported this concept by revealing neurobiological profiles underlying EXT, it is still unclear whether previously identified relationships are generalizable (out-of-sample) and how cortical thickness and corti...

Global and Regional Burden of Refraction Disorders In Children, Adolescents and Young Adults from 1990 to 2021: Trends, Inequalities and Future Predictions with Machine Learning.

PURPOSE: This study aims to forecast future trends and quantify the contributions of key determinants, extending current evidence for tailored interventions METHODS: The study used data from the Global Burden of Disease Study 2021 for children, adolescents and young adults aged 0-24 years. Temporal trends were analysed with joinpoint regression, while health inequalities were assessed using the sl...

Use of artificial intelligence for medication adherence assessment in patients with type 2 diabetes: an exploratory study in Morocco using ChatGPT and the validated general medication adherence scale.

OBJECTIVES: Medication adherence remains a major challenge in the management of type 2 diabetes (T2D), especially in middle-income countries such as M...

AI-generated smoking prevention videos on Instagram achieve greater reach when short-term consequences are addressed.

BACKGROUND: Tobacco use is a major preventable cause of cancer, and social media offers scalable opportunities for prevention. AI-generated virtual in...

Regulatory Research Priorities for AI Use in the Medicine Lifecycle: A European Perspective with Global Relevance.

Regulatory bodies play a central role in providing guidance that enables safe and effective use of artificial intelligence tools in medicine developme...

Artificial intelligence research in journals indexed in the web of science "infectious diseases" category: a bibliometric analysis, 2016-2025.

PURPOSE: Artificial intelligence (AI) is increasingly being applied in the field of infectious diseases. This study aimed to characterize publication ...

Artificial Intelligence in Thyroid Nodules and Cancer: Clinical Validation and Real-World Performance.

Thyroid nodules are detected in a large proportion of adults undergoing high-resolution ultrasonography, yet only a minority harbor clinically signifi...

Ethical Use of Artificial Intelligence in Public Health: Mitigating Risks and Advancing Health Equity.

Artificial intelligence (AI) is increasingly integrated into public health practice, offering new tools for surveillance, behavioral interventions, di...

Beyond Ageing: Spatial and Social Inequalities in Incident Edentulism Among Older Chinese Adults.

UNLABELLED: Edentulism is a severe endpoint of oral-health deterioration and a major challenge for healthy ageing. This study aimed to identify high-r...

Integrated population-based evidence, network toxicology, single-cell profiling, and in vitro studies elucidate mechanisms connecting PAHs to stroke.

Environmental exposure to polycyclic aromatic hydrocarbons (PAHs) has been associated with cardiovascular disease, yet the specific metabolites and ce...

Exploring Applications of AI in the Crisis Line Sector: Protocol for a Scoping Review.

BACKGROUND: Crisis helplines are a vital component of a robust public health approach to suicide prevention as they are often free, accessible, and pr...

Machine learning and multi-omics technologies for precision cardiovascular medicine: advancing diagnosis, risk prediction, and therapeutic guidance.

Cardiovascular disease remains a major global health burden. Owing to its complex pathogenesis and marked clinical heterogeneity, conventional one-siz...

The case for near-term artificial intelligence risks to be considered a public health problem.

AI is being rapidly integrated across nearly all sectors, including within healthcare and health systems. The prevailing dominant narrative frames AI'...

Somalia's lifeline: Digitalization and AI.

Somalia's fragile health system, strained by decades of conflict, climate shocks, and persistently low immunization coverage, remains dangerously vuln...

Bridging fibrosis and function: an integrated mechanistic and therapeutic framework for Peyronie's disease and related erectile dysfunction.

INTRODUCTION: Peyronie's disease (PD) and erectile dysfunction (ED) are prevalent and frequently coexisting male sexual disorders that share endotheli...

Global research trends in perioperative pressure injury prevention: A bibliometric analysis from repositioning to technology-assisted strategies.

BACKGROUND: Perioperative pressure injuries remain a major patient safety challenge, particularly among critically ill and immobilised patients. Altho...

Development and validation of machine learning models to predict risk of undiagnosed dementia using healthcare claims and electronic health record data.

BackgroundApproximately half of people living with Alzheimer's disease and related dementias are undiagnosed.ObjectiveTo develop and validate algorith...

Clinically interpretable prediction models of stroke functional outcomes: A national cohort study of adults in inpatient rehabilitation facilities in the US.

OBJECTIVE: To predict self-care and mobility function at discharge from inpatient rehabilitation for adults with stroke using only variables from the ...

Automated Vocal Fatigue Screening in Professional Voice Users: Development and Occupational Validation of an Automated Assessment System.

INTRODUCTION: Professional voice users face an elevated risk of vocal injury from sustained occupational voice use, yet scalable tools for workplace s...

[Advances in phage therapy for pneumonia caused by Klebsiella pneumoniae].

Klebsiella pneumoniae (KP) has emerged as a formidable nosocomial pathogen in the era of antimicrobial resistance, with mortality from pneumonia cause...