Public Health & Policy

Medicaid

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

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A double-hit of stress and low-grade inflammation on functional brain network mediates posttraumatic stress symptoms.

Growing evidence indicates a reciprocal relationship between low-grade systemic inflammation and str...

Low-Voltage-Driven Large-Amplitude Soft Actuators Based on Phase Transition.

Soft actuators producing large motion in a short time are mostly based on stretchable polymers actua...

Deep Learning Based on MRI for Differentiation of Low- and High-Grade in Low-Stage Renal Cell Carcinoma.

UNLABELLED: Pretreatment determination of renal cell carcinoma aggressiveness may help to guide clin...

Low-contrast X-ray enhancement using a fuzzy gamma reasoning model.

X-ray images play an important role in providing physicians with satisfactory information correlated...

Early short-term prediction of emergency department length of stay using natural language processing for low-acuity outpatients.

BACKGROUND: Low-acuity outpatients constitute the majority of emergency department (ED) patients, an...

Adversarial autoencoder for visualization and classification of human activity: Application to a low-cost commercial force plate.

The ability to visualize and interpret high dimensional time-series data will be critical as wearabl...

Causal importance of low-level feature selectivity for generalization in image recognition.

Although our brain and deep neural networks (DNNs) can perform high-level sensory-perception tasks, ...

Automatic opportunistic osteoporosis screening using low-dose chest computed tomography scans obtained for lung cancer screening.

OBJECTIVE: Osteoporosis is a prevalent and treatable condition, but it remains underdiagnosed. In th...

Low-rank discriminative regression learning for image classification.

As a famous multivariable analysis technique, regression methods, such as ridge regression, are wide...

Initial classification of low back and leg pain based on objective functional testing: a pilot study of machine learning applied to diagnostics.

OBJECTIVE: The five-repetition sit-to-stand (5R-STS) test was designed to capture objective function...

Two dimensional multifractal detrended fluctuation analysis of low coherence images for diagnosis of cervical pre-cancer.

We report detection of cervical pre-cancer through their low coherence images by applying two dimens...

A Novel Low-Bit Quantization Strategy for Compressing Deep Neural Networks.

The increase in sophistication of neural network models in recent years has exponentially expanded m...

ECG Authentication Hardware Design With Low-Power Signal Processing and Neural Network Optimization With Low Precision and Structured Compression.

Biometrics such as facial features, fingerprint, and iris are being used increasingly in modern auth...

Characterization of low level viraemia in HIV-infected patients receiving boosted protease inhibitor-based antiretroviral regimens.

To understand the pathogenesis of low level viraemia (LLV) in HIV-infected patients on boosted prote...

Acceleration of three-dimensional diffusion magnetic resonance imaging using a kernel low-rank compressed sensing method.

Diffusion Magnetic Resonance Imaging (dMRI) has shown great potential in probing tissue microstructu...

Low-power microelectronics embedded in live jellyfish enhance propulsion.

Artificial control of animal locomotion has the potential to simultaneously address longstanding cha...

Convolutional neural network enhancement of fast-scan low-dose cone-beam CT images for head and neck radiotherapy.

To improve image quality and CT number accuracy of fast-scan low-dose cone-beam computed tomography ...

SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network.

Computed tomography (CT) is a widely used screening and diagnostic tool that allows clinicians to ob...

Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation.

Motor imagery has been suggested as an efficient alternative to improve the rehabilitation process o...

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