Public Health & Policy

Medicaid

Latest AI and machine learning research in medicaid for healthcare professionals.

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The implementation of artificial intelligence to the low-cost metaphase finder.

Biological dosimetry is used to estimate one's dose by biological phenomena. The most popular and 'g...

Diagnostic Detection of H7N3 Low Pathogenicity Avian Influenza in a Commercial Game Bird Flock.

Low pathogenicity avian influenza (LPAI) H7N3 was diagnosed in a flock of commercially raised Japane...

Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstruction.

Fast and low-dose reconstructions of medical images are highly desired in clinical routines. We prop...

[Intelligent intensive care unit makes medicine more accessible].

In the past half century, critical care medicine has made rapid development, and the survival rate o...

Introduction to Point-of-Care Ultrasonography.

Medical ultrasonography was first used as a diagnostic tool in 1942 by Theodore Karl Dussik to visua...

RESEARCH PROGRESS OF DEEP LEARNING IN LOW-DOSE CT IMAGE DENOISING.

Low-dose computed tomography (CT) will increase noise and artefacts while reducing the radiation dos...

Can artificial intelligence increase the efficiency of referrals from primary to specialized care?

The overload of the current healthcare model makes the search for strategies to improve process effi...

A low-frequency acceleration sensor inspired by saccule in human vestibule.

A human vestibular system is a group of devices in the inner ear that govern the balancing movement ...

Dual-domain fusion deep convolutional neural network for low-dose CT denoising.

BACKGROUND: In view of the underlying health risks posed by X-ray radiation, the main goal of the pr...

A Low-Complexity Brain-Computer Interface for High-Complexity Robot Swarm Control.

A brain-computer interface (BCI) is a system that allows a human operator to use only mental command...

A Lightweight Low-dose PET Image Super-resolution Reconstruction Method based on Convolutional Neural Network.

BACKGROUND: PET imaging is one of the most widely used neurological disease screening and diagnosis ...

Extracting Low-Dimensional Psychological Representations from Convolutional Neural Networks.

Convolutional neural networks (CNNs) are increasingly widely used in psychology and neuroscience to ...

[A Case of Rectal Cancer with Bladder Invasion Performed with Robot-Assisted Low Anterior Resection after TNT].

A 73-year-old woman was admitted with a chief complaint of weight loss. Colonoscopy revealed rectal ...

Prospective Validation of a Machine Learning Model for Low-Density Lipoprotein Cholesterol Estimation.

OBJECTIVE: We aim to prospectively validate a previously developed machine learning algorithm for lo...

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