Public Health & Policy

Health Policy

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

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Low Cost Magnetic Field Control for Disabled People.

Our research presents a cost-effective navigation system for electric wheelchairs that utilizes the ...

Robotics and cybersurgery in ophthalmology: a current perspective.

Ophthalmology is one of the most enriched fields, allowing the domain of artificial intelligence to ...

A hybrid deep learning model for regional O and NO concentrations prediction based on spatiotemporal dependencies in air quality monitoring network.

Short-term prediction of urban air quality is critical to pollution management and public health. Ho...

Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System.

The game of Jenga is a benchmark used for developing innovative manipulation solutions for complex t...

Comparison of image quality of two versions of deep-learning image reconstruction algorithm on a rapid kV-switching CT: a phantom study.

BACKGROUND: To assess the impact of the new version of a deep learning (DL) spectral reconstruction ...

Towards optimal deep fusion of imaging and clinical data via a model-based description of fusion quality.

BACKGROUND: Due to intrinsic differences in data formatting, data structure, and underlying semantic...

Mutual Information-Driven Feature Reduction for Hyperspectral Image Classification.

A hyperspectral image (HSI), which contains a number of contiguous and narrow spectral wavelength ba...

Systematic Review of Advanced AI Methods for Improving Healthcare Data Quality in Post COVID-19 Era.

At the beginning of the COVID-19 pandemic, there was significant hype about the potential impact of ...

Fusion of Quality Evaluation Metrics and Convolutional Neural Network Representations for ROI Filtering in LC-MS.

Region of interest (ROI) extraction is a fundamental step in analyzing metabolomic datasets acquired...

Vision-Based Efficient Robotic Manipulation with a Dual-Streaming Compact Convolutional Transformer.

Learning from visual observation for efficient robotic manipulation is a hitherto significant challe...

Support academic access to automated cloud labs to improve reproducibility.

Cloud labs, where experiments are executed remotely in robotic facilities, can improve the reproduci...

Considerations for Creating a Restricted Data Environment with Complete Primary Care Electronic Medical Record Data.

Background: Historically, primary care databases have been limited to subsets of the full electronic...

Wireless Link Selection Methods for Maritime Communication Access Networks-A Deep Learning Approach.

In recent years, we have been witnessing a growing interest in the subject of communication at sea. ...

Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning.

In the field of computer science, known as artificial intelligence, algorithms imitate reasoning tas...

Farmland quality assessment using deep fully convolutional neural networks.

Farmland is the cornerstone of agriculture and is important for food security and social production....

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