Public Health & Policy

Health Policy

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

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Prediction of school PM by an attention-based deep learning approach informed with data from nearby air quality monitoring stations.

Predicting indoor air pollutants concentrations in schools is essential for ensuring a healthy learn...

Enhanced water quality prediction model using advanced hybridized resampling alternating tree-based and deep learning algorithms.

Water quality modeling in riverine systems is crucial for effective water resource management and po...

A systematic review of machine learning-based prognostic models for acute pancreatitis: Towards improving methods and reporting quality.

BACKGROUND: An accurate prognostic tool is essential to aid clinical decision-making (e.g., patient ...

AI for image quality and patient safety in CT and MRI.

Substantial endeavors have been recently dedicated to developing artificial intelligence (AI) soluti...

Towards Rapid and Low-Cost Stroke Detection Using SERS and Machine Learning.

Stroke affects approximately 12 million individuals annually, necessitating swift diagnosis to avert...

High-resolution spatio-temporal estimation of street-level air pollution using mobile monitoring and machine learning.

High spatio-temporal resolution street-level air pollution (SLAP) estimation is essential for urban ...

Predicting sleep quality among college students during COVID-19 lockdown using a LASSO-based neural network model.

BACKGROUND: In March 2022, a new outbreak of COVID-19 emerged in Quanzhou, leading to the implementa...

Generalizable deep neural networks for image quality classification of cervical images.

Successful translation of artificial intelligence (AI) models into clinical practice, across clinica...

Predicting mental health disparities using machine learning for African Americans in Southeastern Virginia.

This study examined mental health disparities among African Americans using AI and machine learning ...

Artificial Intelligence (AI) - Powered Documentation Systems in Healthcare: A Systematic Review.

Artificial Intelligence (AI) driven documentation systems are positioned to enhance documentation ef...

DeepSeek in Healthcare: Revealing Opportunities and Steering Challenges of a New Open-Source Artificial Intelligence Frontier.

Generative Artificial Intelligence (GAI) has driven several advancements in healthcare, with large l...

Improved neural networks for the classification of microplastics via inferior quality Raman spectra.

Machine learning algorithms are proficient in the rapid extraction of features for the classificatio...

Quality review and content analysis of liver complications mobile apps in Iran: A statistical and machine learning approach.

BACKGROUND: Liver disease accounts for 4 % of global mortality. The advent of mobile technology has ...

Using artificial intelligence tools for data quality evaluation in the context of microplastic human health risk assessments.

Concerns about the negative impacts of microplastics on human health are increasing in society, whil...

Social Determinants and Health Equity Activities: Are They Connected with the Adaptation of AI and Telehealth Services in the U.S. Hospitals?

In recent decades, technological shifts within the healthcare sector have significantly transformed ...

Artificial intelligence and science of patient input: a perspective from people with multiple sclerosis.

Artificial intelligence (AI) can play a vital role in achieving a shift towards predictive, preventi...

Artificial intelligence and natural language processing for improved telemedicine: Before, during and after remote consultation.

The rapid evolution of telemedicine has revealed significant documentation and workflow challenges. ...

Managerial myopia and its barrier to green innovation in high-pollution enterprises: A machine learning approach.

Green technology innovation has become a vital remedy in response to the world's growing ecological ...

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