Infectious Disease

Public Health

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

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Showing 1408-1428 of 4,630 articles
Revolutionizing breast cancer monitoring: emerging hematocrit-based metrics - a narrative review.

Breast cancer remains a leading global health concern, with significant strides made in early detect...

An informed deep learning model of the Omicron wave and the impact of vaccination.

The Omicron (B.1.1.529) variant of SARS-CoV-2 emerged in November 2021 and has since evolved into mu...

A stacked ensemble approach for symptom-based monkeypox diagnosis.

The recent monkeypox outbreak has raised global health concerns. Caused by a virus, it is characteri...

Integrating large language models with human expertise for disease detection in electronic health records.

OBJECTIVE: Electronic health records (EHR) are widely available to complement administrative data-ba...

Deep Learning-Assisted 3D Pressure Sensors for Control of Unmanned Aerial Vehicles.

Accurately and reliably detecting and recognizing human body movements in real time, relaying approp...

Multivariate forecasting of dengue infection in Bangladesh: evaluating the influence of data downscaling on machine learning predictive accuracy.

The increasing incidence of dengue virus (DENV) infections poses significant public health challenge...

[Integrated diagnosis and treatment of peritoneal metastasis in gastric cancer].

The high incidence and mortality rates of gastric cancer pose a significant burden on human health a...

Unveiling differential adverse event profiles in vaccines via LLM text embeddings and ontology semantic analysis.

BACKGROUND: Vaccines are crucial for preventing infectious diseases; however, they may also be assoc...

Prospective study using artificial neural networks for identification of high-risk COVID-19 patients.

The COVID-19 pandemic caused a major public health crisis, with severe impacts on global health and ...

Machine learning in colorectal polyp surveillance: A paradigm shift in post-endoscopic mucosal resection follow-up.

Colorectal cancer remains a major health concern, with colorectal polyps as key precursors. Endoscop...

Optimizing influenza vaccine allocation: A predictive analytics approach for informed public health planning.

PURPOSE: Excessive purchasing of influenza vaccine can lead to costly overages and waste of resource...

Poisson random measure noise-induced coherence in epidemiological priors informed deep neural networks to identify the intensity of virus dynamics.

Differential equations-based epidemiological compartmental systems and deep neural networks-based ar...

Development and validation of machine learning nomograms for predicting survival in stage IV pancreatic cancer: A retrospective study.

BACKGROUND: Stage IV pancreatic cancer (PC) has a poor prognosis and lacks individualized prognostic...

A Knowledge Graph for the Exploration of Human RSV Infection.

Despite decades of research and disease burden, RSV remains the most common cause of acute lower res...

Practical Approach for Evaluating Machine Learning Anomaly Detection Algorithms for Epidemic Early Warning Systems.

Anomaly detection methods in time series data can play a pivotal role in epidemic surveillance Early...

Applying AI to Support Categorization of Heterogeneous Epidemiological Datasets.

The significance of Findable, Accessible, Interoperable, and Reusable (FAIR) data is increasing, par...

Hidden in Plain Sight: The Harmful Side of AI-Based Mental Health Interventions.

Advances in Artificial Intelligence (AI) and other technologies together with increasing economic an...

Machine Learning-Based Clinical Decision Support System for Suicide Risk Management: The PERMANENS Project.

The PERMANENS European project addresses the global public health challenge of self-harm and suicide...

Pros, Cons and Limits of AI in Public Health.

This paper explores the role of Artificial Intelligence (AI) in Public Health (PH), examining its be...

Personalized surveillance in colorectal cancer: Integrating circulating tumor DNA and artificial intelligence into post-treatment follow-up.

Given the growing burden of colorectal cancer (CRC) as a global health challenge, it becomes imperat...

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