Public Health & Policy

Health Policy

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

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Digital health in stroke: a narrative review.

Digital health is significantly transforming stroke care, particularly in remote and economically di...

Assessment of deep learning image reconstruction (DLIR) on image quality in pediatric cardiac CT datasets type of manuscript: Original research.

BAKGROUND: To evaluate the quantitative and qualitative image quality using deep learning image reco...

Machine learning for environmental justice: Dissecting an algorithmic approach to predict drinking water quality in California.

The potential for machine learning to answer questions of environmental science, monitoring, and reg...

A novel open-access artificial-intelligence-driven platform for CNS drug discovery utilizing adult zebrafish.

BACKGROUND: Although zebrafish are increasingly utilized in biomedicine for CNS disease modelling an...

Health inequities, bias, and artificial intelligence.

Musculoskeletal (MSK) pain leads to significant healthcare utilization, decreased productivity, and ...

Balancing act: the complex role of artificial intelligence in addressing burnout and healthcare workforce dynamics.

Burnout and workforce attrition present pressing global challenges in healthcare, severely impacting...

Assessing the Readability, Reliability, and Quality of AI-Modified and Generated Patient Education Materials for Endoscopic Skull Base Surgery.

BACKGROUND: Despite National Institutes of Health and American Medical Association recommendations t...

Modeling the relationship between maternal health and infant behavioral characteristics based on machine learning.

This study investigates the impact of maternal health on infant development by developing a mathemat...

Prediction of Arteriovenous Access Dysfunction by Mel Spectrogram-based Deep Learning Model.

The early detection of arteriovenous (AV) access dysfunction is crucial for maintaining the patency...

Quality and correctness of AI-generated versus human-written abstracts in psychiatric research papers.

This study aimed to assess the ability of an artificial intelligence (AI)-based chatbot to generate ...

Technological Advances in the Diagnosis of Cardiovascular Disease: A Public Health Strategy.

This article reviews technological advances and global trends in the diagnosis, treatment, and monit...

Innovation and challenges of artificial intelligence technology in personalized healthcare.

As the burgeoning field of Artificial Intelligence (AI) continues to permeate the fabric of healthca...

Deep learning improves quality of intracranial vessel wall MRI for better characterization of potentially culprit plaques.

Intracranial vessel wall imaging (VWI), which requires both high spatial resolution and high signal-...

Effect of deep learning reconstruction on the assessment of pancreatic cystic lesions using computed tomography.

This study aimed to compare the image quality and detection performance of pancreatic cystic lesions...

Exploring the potential of machine learning to understand the occurrence and health risks of haloacetic acids in a drinking water distribution system.

Determining the occurrence of disinfection byproducts (DBPs) in drinking water distribution system (...

A Shape-Consistent Deep-Learning Segmentation Architecture for Low-Quality and High-Interference Myocardial Contrast Echocardiography.

OBJECTIVE: Myocardial contrast echocardiography (MCE) plays a crucial role in diagnosing ischemia, i...

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