Medicaid

Low-light image enhancement of high-speed endoscopic videos using a convolutional neural network.

Laryngeal endoscopy is one of the primary diagnostic tools for laryngeal disorders. The main techniq...

Visual network alterations in brain functional connectivity in chronic low back pain: A resting state functional connectivity and machine learning study.

Chronic low back pain (cLBP) is associated with widespread functional and structural changes in the ...

Psychological characteristics and stress differentiate between high from low health trajectories in later life: a machine learning analysis.

: This study set out to empirically identify joint health trajectories in individuals of advanced ag...

Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data.

We present an approach for fully automatic urinary bladder segmentation in CT images with artificial...

High and low dimensionality in neuroscience and artificial intelligence: Comment on "The unreasonable effectiveness of small neural ensembles in high-dimensional brain" by A.N. Gorban et al.

Automated detection of koalas using low-level aerial surveillance and machine learning.

Effective wildlife management relies on the accurate and precise detection of individual animals. Th...

Low-rank network signatures in the triple network separate schizophrenia and major depressive disorder.

Brain imaging studies have revealed that functional and structural brain connectivity in the so-call...

Artifact correction in low-dose dental CT imaging using Wasserstein generative adversarial networks.

PURPOSE: In recent years, health risks concerning high-dose x-ray radiation have become a major conc...

Differentiating kidney stones from phleboliths in unenhanced low-dose computed tomography using radiomics and machine learning.

OBJECTIVES: Distinguishing between kidney stones and phleboliths can constitute a diagnostic challen...

Predicting centre of mass horizontal speed in low to severe swimming intensities with linear and non-linear models.

We aimed to compare multilayer perceptron (MLP) neural networks, radial basis function neural networ...

Hepatitis Screening and Treatment Campaign in Malaysia-Validation of Low-cost Point of Care Screening Tests and Nucleic Acid Tests for Hepatitis B and C.

BACKGROUND: Two major challenges in implementing budget-constrained Hepatitis screening and treatmen...

Prediction of skin dose in low-kV intraoperative radiotherapy using machine learning models trained on results of in vivo dosimetry.

PURPOSE: The purpose of this study was to implement a machine learning model to predict skin dose fr...

Liver Extraction Using Residual Convolution Neural Networks From Low-Dose CT Images.

An efficient and precise liver extraction from computed tomography (CT) images is a crucial step for...

Prediction of TF-Binding Site by Inclusion of Higher Order Position Dependencies.

Most proposed methods for TF-binding site (TFBS) predictions only use low order dependencies for pre...

Low Abundances but High Growth Rates of Coastal Heterotrophic Bacteria in the Red Sea.

Characterized by some of the highest naturally occurring sea surface temperatures, the Red Sea remai...

Combined effect of recombinant human bone morphogenetic protein-2 and low level laser irradiation on bisphosphonate-treated osteoblasts.

OBJECTIVES: The purpose of this study was to evaluate the synergic effect of recombinant human bone ...

Smartphone-based fluorescent lateral flow immunoassay platform for highly sensitive point-of-care detection of Zika virus nonstructural protein 1.

Simple, inexpensive, and rapid diagnostic tests in low-resource settings with limited laboratory equ...

Ultra-Low-Dose Neck CT With Low-Dose Contrast Material for Preoperative Staging of Thyroid Cancer: Image Quality and Diagnostic Performance.

OBJECTIVE: Although CT has been used as a complementary diagnostic method for the preoperative diagn...

Comparison of physical and behavioral traits between dairy cows with low and high somatic cell count.

The objective of this study was to examine associations of locomotion score, hygiene, body condition...

Low-Concentration Oxygen/Ozone Treatment Attenuated Radiculitis and Mechanical Allodynia via PDE2A-cAMP/cGMP-NF-B/p65 Signaling in Chronic Radiculitis Rats.

BACKGROUND: Oxygen/ozone therapy is a minimally invasive technique for the treatment of radiculitis ...

Promoting Eye Health in Low-Resource Areas by "Doing More With Less".