Public Health & Policy

Health Policy

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

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GastroEndoNet: Comprehensive endoscopy image dataset for GERD and polyp detection.

The gastrointestinal (GI) system is fundamental to human health, supporting digestion, nutrient abso...

Integrating Artificial Intelligence in Dermatological Cancer Screening and Diagnosis: Efficacy, Challenges, and Future Directions.

Skin cancer is the most common cancer in the United States, with incidence rates continuing to rise ...

The Evolution of Patient Empowerment and Its Impact on Health Care's Future.

In the 21st century, health care has been going through a paradigm shift called digital health. Due ...

Exploring Suitability of Low-Severity Rating Hospital Incident Reports for Machine Learning.

Electronic incident reporting is a key quality and a safety process for healthcare organizations tha...

Using Generative Artificial Intelligence in Health Economics and Outcomes Research: A Primer on Techniques and Breakthroughs.

The emergence of generative artificial intelligence (GenAI) offers the potential to enhance health e...

Benchmarking reinforcement learning algorithms for autonomous mechanical thrombectomy.

PURPOSE: Mechanical thrombectomy (MT) is the gold standard for treating acute ischemic stroke. Howev...

Deep learning for quality assessment of axial T2-weighted prostate MRI: a tool to reduce unnecessary rescanning.

BACKGROUND: T2-weighted images are a critical component of prostate magnetic resonance imaging (MRI)...

Integrating prior knowledge with deep learning for optimized quality control in corneal images: A multicenter study.

OBJECTIVE: Artificial intelligence (AI) models are effective for analyzing high-quality slit-lamp im...

Sustaining Ophthalmic Practices for the Future: A High-Value Care Approach to Environmental Responsibility.

Ophthalmology, like all medical specialities, is continuously evolving to adapt to emerging challeng...

Managing chronic disease in the digital era: The role of telemedicine apps and platforms.

Chronic diseases such as diabetes, heart disease, or asthma are one of the biggest health challenges...

Low-cost video-based air quality estimation system using structured deep learning with selective state space modeling.

Air quality is crucial for both public health and environmental sustainability. An efficient and cos...

A review of emerging trends in nanomaterial-driven AI for biomedical applications.

The field of artificial intelligence (AI) is expanding quickly. To mimic the structure and biologica...

Real-time health monitoring by examining the role of next-generation elements in a medical app.

The healthcare sector is undergoing a profound transformation driven by the rapid rise in healthcare...

Machine learning approach for optimizing usability of healthcare websites.

In today's digital era, hospital websites serve as crucial informational resources, providing patien...

Artificial intelligence tool development: what clinicians need to know?

Digital medicine and smart healthcare will not be realised without the cognizant participation of cl...

Optimized machine learning mechanism for big data healthcare system to predict disease risk factor.

Heart disease is becoming more and more common in modern society because of factors like stress, ina...

Deep learning-based spatial optimization of green and cool roof implementation for urban heat mitigation.

Intensifying urban heat extremes require efficient mitigation strategies; therefore, we propose a me...

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