Public Health & Policy

Environmental Antibiotic Contamination and AMR: Integrating Pathways, Impacts, and AI-Driven Mitigation.

The widespread contamination of the environment with antibiotic residues is a significant factor contributing to the global crisis of antimicrobial resistance. Antibiotics from various sources, such as effluents from municipal and hospital wastewater treatment plants, agricultural runoffs, discharges from pharmaceutical manufacturing and improper disposal of expired or unused medicines, create sel...

Understanding Blood-Injection-Injury Phobia: Do Not Miss the Point.

Needle and blood-injection-injury phobia is commonly encountered in the perioperative setting. It can significantly disrupt operating room throughput, increase healthcare costs, cause delays in care, and lead to patient disengagement with the healthcare system. These phobias, which involve intense fear and anxiety about needles and blood, can increase procedural risks, requiring interventions such...

Lung Cancer Screening and Prevention: Beyond Conventional Strategies in a Rapidly Changing Global Milieu.

Lung cancer remains the leading cause of cancer-related mortality worldwide despite advances in early detection and treatment. Furthermore, its epidem...

Statistical Models Addressing Acute Respiratory Diseases: A Scoping Review.

This review highlights the application of statistical models in addressing respiratory diseases worldwide. A scoping review was conducted following Jo...

Machine Learning Applications Within the Earlier Medicine Framework for Stroke: A Scoping Review.

This scoping review explores how machine learning (ML) has been applied to stroke research within the Earlier Medicine framework, which promotes proac...

Evaluating the Potential of Machine Learning for Discharge Management on Routine Health Insurance Data.

Machine learning (ML) has great potential in healthcare, especially with large structured data. Routine health insurance claims (HIC) data are a valua...

Integrating AI Scribe Technology into Public Health Workflows: Simulation and Field Evaluation in Disease Case Management.

The growing integration of generative artificial intelligence (GenAI) into clinical documentation offers new opportunities to enhance public health su...

PROSODIC: Predictive Intelligence for Secondary Prevention of Youth Suicide.

Suicide is currently the leading cause of preventable death among young people, yet early identification of reattempt risk remains limited by its mult...

REDCap Ontology Annotation Made Easy (ROME) - A REDCap Module for Simplified Metadata Element Annotation.

Semantic annotation of study metadata elements with concept codes from medical terminologies is essential in order to make biomedical data FAIR (Finda...

From Clinical Data Warehouses to Epidemiological Indicators: A Methodology for Real-Time Surveillance.

Clinical data warehouses (CDWs) provide a robust foundation for generating real-world epidemiological indicators from electronic health records. By ex...

Noninvasive detection and prognostic stratification of biliary tract cancer using cell-free DNA fragmentomics: a model development and validation study.

Biliary tract cancer (BTC) is typically diagnosed at an advanced stage due to the lack of effective screening tools, resulting in limited therapeutic ...

ASO Special Article: Proceedings of the Inaugural Joint US-India Cancer Dialogue: Accelerating Collaboration to Advance Cancer Prevention, Early Detection, Treatment, and Care.

BACKGROUND: Cancer is a leading cause of death in both the USA and India. During Prime Minister Narendra Modi's State Visit to Washington, DC in June ...

Optimizing adjuvant therapy selection with machine learning after transoral surgery in HPV-related oropharyngeal cancer.

BACKGROUND: De-escalation after transoral surgery (TOS) for HPV-related oropharyngeal squamous cell carcinoma (OPSCC) requires accurate risk stratific...

Enhancing respiratory virus surveillance among hospitalised children: a machine learning-based predictive model.

BACKGROUND: Viral respiratory tract infections (vRTIs) are a leading cause of paediatric hospitalisation and healthcare utilisation. Existing syndromi...

Data fusion in air pollution exposure assessment: Methods, applications, and future directions.

Over the past two decades, major advances in observational techniques and modeling capabilities have enabled the development of air pollution data fus...

A long-term image-derived AI-based risk model for primary prevention of breast cancer in individuals at high risk.

Image-derived artificial intelligence (AI) risk models have shown promise in short-term risk assessment for improving breast cancer (BC) screening. No...

Disease and Health Surveillance in Companion Animals Using Artificial Intelligence and Machine Learning.

Companion animal disease surveillance now benefits from collated databases of electronic health records and artificial intelligence. This review exami...

The One Health resistome: Integrating environmental, microbial, and human antimicrobial resistance surveillance and risk analysis in the digital age.

Antimicrobial resistance (AMR) and antibiotic resistance (ABR) represent one of the most pressing global health threats, driven by the complex interpl...

Application of Health Examination in Early Screening of Tumors.

Early detection of tumors constitutes a cornerstone of cancer prevention and control. Medical assessments alongside emerging screening modalities prov...

A Dynamic Machine Learning Approach to Complement Nurse-Led Clinics in Identifying High-Risk Patients with Intermittent Claudication.

OBJECTIVE: To develop and validate dynamic machine-learning models to predict 6-month adverse outcomes in intermittent claudication (IC), enabling ris...