Public Health & Policy

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

8,053 articles
Stay Ahead - Weekly Public Health & Policy research updates
Subscribe
Browse Categories
Showing 1870-1890 of 8,053 articles
Data-driven multi-hazard susceptibility and community perceptions assessment using a mixed-methods approach.

Assessing multi-hazard susceptibility and understanding community insights are important for effecti...

Real-time FT-IR typing of Klebsiella pneumoniae: a flexible and rapid approach for outbreak detection and infection control.

BACKGROUND: Expansion of carbapenemase-producing Klebsiella pneumoniae (CP-Kp) is driven by within-h...

Development of a robust FT-IR typing system for , enhancing performance through hierarchical classification.

is a leading cause of foodborne illnesses globally, with significant mortality rates, especially am...

Integration of metabolomics and machine learning for precise management and prevention of cardiometabolic risk in Asians.

Rapid changes in dietary patterns have led to a rise in cardiometabolic diseases (CMDs) worldwide, h...

Advancing T-cell immunotherapy for cellular senescence and disease: Mechanisms, challenges, and clinical prospects.

Cellular senescence is a complex biological process with a dual role in tissue homeostasis and aging...

Trends and advances in image-based mosquito identification and classification using machine learning models: A systematic review.

Mosquito-borne diseases, such as Yellow fever, Dengue, and Zika, pose a significant global health th...

Predictive modeling based on machine learning for mapping risk areas of human sporotrichosis in southeastern Brazil.

Sporotrichosis, a zoonotic mycosis with a growing public health impact, requires innovative methods ...

Are AI-based surveillance systems for healthcare-associated infections ready for clinical practice? A systematic review and meta-analysis.

Healthcare-associated infections (HAIs) are a global public health concern, imposing significant cli...

From classical approaches to artificial intelligence, old and new tools for PDAC risk stratification and prediction.

Pancreatic ductal adenocarcinoma (PDAC) is recognized as one of the most lethal malignancies, charac...

Probabilistic memory auto-encoding network for abnormal behavior detection in surveillance video.

Abnormal behavior detection in surveillance video, as one of the essential functions in the intellig...

The Chest X- Ray: The Ship has Sailed, But Has It?

In the past, the chest X-ray (CXR) was a traditional age and amount requirement used to assess poten...

[Association between gut microbiota and hyperuricemia: insights into innovative therapeutic strategies].

Uric acid (UA) is the final metabolite of purines in the human body. An imbalance in UA production a...

[Advances in the application of machine learning-related combined models in infectious disease prediction].

When the epidemiology of infectious diseases is more complex, it is often difficult for disease pred...

An epidemiological knowledge graph extracted from the World Health Organization's Disease Outbreak News.

The rapid evolution of artificial intelligence (AI), together with the increased availability of soc...

Artificial Intelligence in the Prevention and Detection of Cardiovascular Disease.

For more than 60 years, artificial intelligence (AI) has served as a mainstay in augmenting and assi...

Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction.

Heart failure (HF) poses a significant public health challenge, with a rising global mortality rate....

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...

The legal and ethical considerations in cross-border telesurgical procedures.

Telesurgery, or remote surgery, represents a transformative fusion of medicine and technology, enabl...

Browse Categories