Public Health & Policy

Health Policy

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

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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...

Artificial Intelligence-Assisted Daily Quality Control System for the Histologic Diagnosis of Gastrointestinal Endoscopic Biopsies: A 1-Year Experience.

CONTEXT.—: Seegene Medical Foundation, one of the major clinical laboratories in South Korea, develo...

Deep learning-based forecasting of daily maximum ozone levels and assessment of socioeconomic and health impacts in South Korea.

Accurate forecasting of ground-level ozone (O) is essential for assessing its public health and soci...

Resistive Switching Random-Access Memory (RRAM): Applications and Requirements for Memory and Computing.

In the information age, novel hardware solutions are urgently needed to efficiently store and proces...

Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb.

Digital health interventions offer promise for scalable and accessible health care, but access is st...

Artificial intelligence (AI) in point-of-care testing.

The integration of artificial intelligence (AI) into point-of-care testing (POCT) represents a trans...

Machine learning: An effective tool for monitoring and ensuring food safety, quality, and nutrition.

The domains of food safety, quality, and nutrition are inundated with complex datasets. Machine lear...

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...

Deep learning-based image classification and quantification models for tablet sticking.

Sticking can significantly affect drug product quality, manufacturing efficiency, and therapeutic ef...

Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets.

Predicting prokaryotic phenotypes-observable traits that govern functionality, adaptability, and int...

Federated Machine Learning Enables Risk Management and Privacy Protection in Water Quality.

Real-time water quality risk management in wastewater treatment plants (WWTPs) requires extensive da...

Relational Ethics in the Administration of Healthcare Technology: AI, Automation and Proper Distance.

Automation and AI-driven decision support systems are increasingly reshaping healthcare, particularl...

A comprehensive image dataset for carambola leaf and fruit disease classification and quality assessment.

The Carambola (), also known as starfruit, is a tropical fruit with significant economic and nutriti...

Low-cost prototype for bearing failure detection using Tiny ML through vibration analysis.

The document presents a low-cost, open-source device designed to facilitate the learning of technolo...

Ripen banana dataset: A comprehensive resource for carbide detection and ripening stage analysis to enhance food quality and agricultural efficiency.

We introduce the "Ripen Banana" dataset, a newly developed collection featuring two distinct classes...

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

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

Artificial intelligence driven mental health diagnosis based on physiological signals.

Mental health disorders like stress, anxiety, and depression are increasing rapidly these days. Diag...

Tailoring optical vortex beams based on diffractive neural networks for high-quality ring-core fiber coupling.

Simultaneously transmitting orthogonal optical vortex (OV) beams loaded with different signals in th...

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