Public Health & Policy

Health Policy

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

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Induced Pluripotent Stem Cells in Cardiomyopathy: Advancing Disease Modeling, Therapeutic Development, and Regenerative Therapy.

Cardiomyopathies are a heterogeneous group of heart muscle diseases that can lead to heart failure, ...

Harnessing AI and advanced modeling for precision ozone control: A data-driven approach to air quality management.

Ozone (O₃) is a secondary pollutant formed through photochemical reactions involving volatile organi...

Speech and Voice Quality as Digital Biomarkers in Depression: A Systematic Review.

OBJECTIVE: To review the current evidence on the use of artificial intelligence-driven speech and vo...

Using interpretable survival analysis to assess hospital length of stay.

Accurate in-hospital length of stay prediction is a vital quality metric for hospital leaders and he...

Public views on research with publicly available data in Switzerland: Implications for digital research, science communication, and policy.

The increasing volume of publicly available data brought about by digitalization offers researchers ...

Quality in science communication with communicative artificial intelligence: A principle-based framework.

The rapid advancement of communicative artificial intelligence (ComAI) is profoundly impacting scien...

Hyperspectral imaging and machine learning for quality assessment of apples with different bagging types.

This study examined how different bagging types (unbagged, mesh-bagged, and paper-bagged) affect the...

Exploring hydrochemical drivers of drinking water quality in a tropical river basin using self-organizing maps and explainable AI.

Groundwater quality assessment is essential for ensuring sustainable water resource management, part...

Digital health technologies in swallowing care from screening to rehabilitation: A narrative review.

OBJECTIVES: Digital health technologies (DHTs) have rapidly advanced in the past two decades, throug...

A new method for drinking water quality risk assessment based on data-driven.

Risk assessment of water quality plays a crucial role in sustainable management of water resource. H...

Laboratory quality management system fundamentals.

A laboratory quality management system (LQMS) enables the effective operation of laboratories of all...

Prediction of trihalomethane occurrence and cancer risk using interpretable machine learning and virtual data augmentation.

Trihalomethanes (THMs) in drinking water are regulated for carcinogenic health risks. However, frequ...

Strategies to Reduce Hospital Length of Stay: Evidence and Challenges.

Hospital length of stay (HLOS) is a critical healthcare metric influencing patient outcomes, resourc...

Cost-Efficient Distributed Learning via Combinatorial Multi-Armed Bandits.

We consider the distributed stochastic gradient descent problem, where a main node distributes gradi...

Artificial intelligence and the electrocardiogram: A modern renaissance.

Integrating Artificial Intelligence (AI) with electrocardiograms (ECG) represents a transformative s...

Competencies of Large Language Models About Piriformis Syndrome: Quality, Accuracy, Completeness, and Readability Study.

The proliferation of artificial intelligence has led to widespread patient use of large language mod...

Deep-Learning Reconstruction for 7T MP2RAGE and SPACE MRI: Improving Image Quality at High Acceleration Factors.

BACKGROUND AND PURPOSE: Deep learning (DL) reconstruction has been successful in realizing otherwise...

Artificial Intelligence vs Human Authorship in Spine Surgery Fellowship Personal Statements: Can ChatGPT Outperform Applicants?

Study DesignA comparative analysis of AI-generated vs human-authored personal statements for spine s...

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