Public Health & Policy

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

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Combating Antimicrobial Resistance: Role of Key Stakeholders with Focus on the Pharmaceutical Sector.

Antimicrobial resistance is a pressing global health threat fueled by a complex interplay of biologi...

Advancing fungal phylogenetics: integrating modern sequencing, dark taxa discovery, and machine learning.

The study of fungal genetics has undergone transformative advancements in recent decades, profoundly...

Transformative potential of artificial intelligence in US CDC HIV interventions: balancing innovation with health privacy.

Artificial intelligence (AI) holds significant potential to transform HIV prevention and treatment t...

Automated tick classification using deep learning and its associated challenges in citizen science.

Lyme borreliosis and tick-borne encephalitis significantly impact public health in Europe, transmitt...

Leveraging data science to understand and address multimorbidity in sub-Saharan Africa: the MADIVA protocol.

INTRODUCTION: Multimorbidity (MM), defined as two or more chronic diseases in an individual, is link...

Value-Based Care in Orthopaedic Surgery: Outcomes, Costing, and Policy Updates.

➢ Strategic action following the measurement of outcomes in the context of cost allows for the reall...

Data Extraction and Curation from Radiology Reports for Pancreatic Cyst Surveillance Using Large Language Models.

INTRODUCTION: Manual curation of radiographic features in pancreatic cyst registries for data abstra...

Recent advancement in endoscopic diagnosis for risk stratification of gastric cancer.

Approximately 90% of cases of gastric cancer (GC) are caused by Helicobacter pylori infection, and s...

Improving meningitis surveillance and diagnosis with machine learning: Insights from São Paulo.

INTRODUCTION: Meningitis, an inflammatory condition of the membranes surrounding the brain and spina...

Prediction and characterisation of the human B cell response to a heterologous two-dose Ebola vaccine.

Ebola virus disease (EVD) outbreaks are increasing, posing significant threats to affected communiti...

Use of artificial intelligence to prevent aggressions against health professionals.

The alarming rise in assaults against healthcare professionals is a public health and occupational i...

Citywide metagenomic surveillance of food centres reveals local microbial signatures and antibiotic resistance gene enrichment.

The distribution of microorganisms in built environments with high human traffic, such as food centr...

Enhancing stroke risk prediction through class balancing and data augmentation with CBDA-ResNet50.

Accurate prediction of stroke risk at an early stage is essential for timely intervention and preven...

School-Based Online Surveillance of Youth: Systematic Search and Content Analysis of Surveillance Company Websites.

BACKGROUND: School-based online surveillance of students has been widely adopted by middle and high ...

Progress in the application research of cervical cancer screening developed by artificial intelligence in large populations.

Cervical cancer stands out among various cancers due to its potential for prevention and eradication...

Construction of extra-large scale screening tools for risks of severe mental illnesses using real world healthcare data.

IMPORTANCE: The prevalence of severe mental illnesses (SMIs) in the United States is approximately 3...

Artificial intelligence and digital twins for the personalised prediction of hypertension risk.

Hypertension is a significant global health challenge, contributing substantially to morbidity and m...

A hybrid ARIMA-BP approach for superior accuracy in predicting traffic accident losses.

Accurately predicting losses resulting from traffic accidents holds crucial significance for acciden...

Development and evaluation of machine learning training strategies for neonatal mortality prediction using multicountry data.

Neonatal mortality poses a critical challenge in global health, particularly in low- and middle-inco...

Harnessing technology for hope: a systematic review of digital suicide prevention tools.

This systematic review scrutinizes digital interventions in suicide prevention, telehealth, mobile a...

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