Public Health & Policy

Health Policy

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

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Unexploited opportunities in oral disease biosensors and digital health integration.

Oral pathologies such as oral cancer, oral potentially malignant disorders (OPMDs), oral squamous ce...

Artificial intelligence in clinical decision support and the prediction of adverse events.

This review focuses on integrating artificial intelligence (AI) into healthcare, particularly for pr...

Graph-based analysis of histopathological images for lung cancer classification using GLCM features and enhanced graph.

Lung cancer remains a leading cause of global cancer mortality, demanding precise diagnostic tools f...

Health-Related Quality of Life and Everyday Functioning in the Flood-Affected Population in Germany - A Case Study of the 2021 Floods in West Germany.

Floods lead to adverse impacts not only in financial terms but also on the health of the exposed pop...

Machine learning prediction for early-stage melanoma outcomes: recurrence-free survival, disease-specific survival, and overall survival.

This study compared machine-learning models for predicting recurrence-free survival (RFS), disease-s...

The Innovation Paradox in Emerging Pharmaceutical Markets: Barriers and Opportunities for Sustainable Development.

Emerging pharmaceutical markets like Brazil, India, and China have seen significant growth due to ri...

Blockchain based electronic educational document management with role-based access control using machine learning model.

The emergence of digital technology has led to a significant increase in the importance of education...

Deep learning reconstruction for improved image quality of ultra-high-resolution brain CT angiography: application in moyamoya disease.

PURPOSE: To investigate vessel delineation and image quality of ultra-high-resolution (UHR) CT angio...

GPT-4 versus human authors in clinically complex MCQ creation: A blinded analysis of item quality.

PURPOSE: To compare the structural quality of multiple choice questions (MCQs) generated by a large ...

Optimization of robotic spray painting trajectories using machine learning for improved surface quality.

The production process needs spray painting particularly within automobile manufacturing since produ...

Standardization and accuracy of race and ethnicity data: Equity implications for medical AI.

The rapid integration of artificial intelligence (AI) into healthcare has raised many concerns about...

TFKT V2: task-focused knowledge transfer from natural images for computed tomography perceptual image quality assessment.

PURPOSE: The accurate assessment of computed tomography (CT) image quality is crucial for ensuring d...

Short-Range Δ-Machine Learning: A Cost-Efficient Strategy to Transfer Chemical Accuracy to Condensed Phase Systems.

DFT-based machine-learning potentials (MLPs) are now routinely trained for condensed-phase systems, ...

Satellite data to support air quality assessment and management.

Satellite data have long been recognized as valuable for air quality applications. These application...

The State of Telemedicine, Telerehabilitation, and Virtual Care in Musculoskeletal Health: A Narrative Review.

Telemedicine has become an increasingly important component of musculoskeletal care, with recent adv...

Artificial Intelligence in Value-Based Health Care.

Artificial intelligence (AI) presents new opportunities to advance value-based healthcare in orthope...

High-Quality CEST Mapping With Lorentzian-Model Informed Neural Representation.

Chemical Exchange Saturation Transfer (CEST) MRI has demonstrated its remarkable ability to enhance ...

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