Public Health & Policy

Latest AI and machine learning research in public health & policy for healthcare professionals.

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Pharmacovigilance in Cell and Gene Therapy: Evolving Challenges in Risk Management and Long-Term Follow-Up.

Cell and gene therapies, including CAR T-cells, CRISPR-based genome editing, and next-generation vir...

How do experts classify sepsis cases for sepsis surveillance? Lessons learned from a Behavioural Artificial Intelligence Technology (BAIT) approach.

OBJECTIVES: To identify relevant objective variables for retrospective identification of 'suspected ...

Global trends, future projections, and epidemiological associations of Mesothelioma: A comprehensive analysis from 1980 to 2050.

BACKGROUND: Malignant mesothelioma is a rare but aggressive cancer primarily caused by occupational ...

Enhancing India's Health Security Efforts Against  : Gaps and Opportunities.

India bears a quarter of the world's tuberculosis (TB) burden. In 2018, the country set an ambitious...

Machine learning based classification of catastrophic health expenditures: a cross-sectional study of Korean low-income households.

BACKGROUND: Despite the National Health Insurance (NHI) system implemented in South Korea, concerns ...

Predicting post-traumatic stress disorder in relatives of critically ill patients.

PURPOSE OF REVIEW: Symptoms of posttraumatic stress disorder (PTSD) affect up to a third of relative...

Reducing bias in coronary heart disease prediction using Smote-ENN and PCA.

Coronary heart disease (CHD) is a major cardiovascular disorder that poses significant threats to gl...

Validation of the Klinrisk Machine Learning Model for CKD Progression in a Large Representative US Population.

BACKGROUND: Early identification of high-risk chronic kidney disease (CKD) can facilitate optimal me...

Complex methods for complex data: key considerations for interpretable and actionable results in exposome research.

Complex multidimensional data are becoming more widely available and are drastically affecting the w...

A Systematic Review on Effect of Bifidobacterium Isolated from Skin Microbiota on GLP-1 Production to Alleviate Human Ailments.

The skin, a complex ecosystem, hosts diverse microorganisms that interact with the immune system and...

Artificial intelligence and digital health in vascular surgery: a 2-decade bibliometric analysis of research landscapes and evolving frontiers.

To analyze the structural and temporal evolution of artificial intelligence (AI) and digital health ...

Access to Breast Cancer Screening: Disparities and Determinants- Expert Panel Narrative Review.

Although breast cancer screening reduces mortality, disparities in access continue to limit equitabl...

Digital Twins for Personalized Medicine Require Epidemiological Data and Mathematical Modeling: Viewpoint.

Digital twin (DT) technology is revolutionizing clinical practice by integrating diverse epidemiolog...

Machine learning enables legal risk assessment in internet healthcare using HIPAA data.

This study explores how artificial intelligence technologies can enhance the regulatory capacity for...

Digital Twin Technology In Radiology.

A digital twin is a computational model that provides a virtual representation of a specific physica...

Unraveling global malaria incidence and mortality using machine learning and artificial intelligence-driven spatial analysis.

Malaria remains a significant global health concern, contributing to substantial morbidity and morta...

Gated recurrent unit with decay has real-time capability for postoperative ileus surveillance and offers cross-hospital transferability.

BACKGROUND: Ileus, a postoperative complication after colorectal surgery, increases morbidity, costs...

Leveraging geographic information system for dengue surveillance: a scoping review.

BACKGROUND: Vector-borne diseases caused by Aedes mosquitoes remain a major public health concern ac...

Generating targeted and tailored health communication narratives with AI.

Customized narratives are effective tools to promote risk prevention behaviors in populations. Howev...

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